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🚀 AVAILABLE FOR PROJECTS

Hi, I'm Bijay Das

AI EngineerFull-Stack DeveloperSystem Architect

⏱️

13

Years Experience

🎯

50+

Enterprise Projects

100%

Delivery Success

13 years of hands-on experience architecting and delivering AI-powered solutions from concept to production. Built scalable microservices handling 10M+ daily requests, deployed GenAI chatbots serving 150M+ users, and led teams of 5-25 engineers to ship products on time, every time.

Whether you need a fractional CTO, an AI/ML architect, or a senior full-stack engineer who can own entire systems—I deliver results, not just code.

🌍 Remote-Ready ⚡ Quick Start 🔒 NDA Ready

About Me

Full-Stack AI Engineer Who Ships Products

I'm Bijay Das—a software architect and AI engineer with 13 years of building production systems from backend APIs to ML models to cloud infrastructure. I don't just design; I code, deploy, and own entire projects.

What I do:
→ Build scalable microservices (Node.js, Python, Java) handling 10M+ requests/day
→ Deploy AI/ML systems using TensorFlow, PyTorch, and LangChain for GenAI
→ Design cloud infrastructure on AWS/Azure with Kubernetes and Docker
→ Develop full-stack applications (React, Angular, Vue.js frontend + robust backends)
→ Lead engineering teams (5-25 developers) and deliver projects on time
→ Set up CI/CD pipelines, DevOps, monitoring, and observability

Real projects I've shipped:
GenAI Chatbot: Built RAG-powered assistant serving 150M monthly users with 99.9% uptime
E-commerce Platform: Architected microservices handling 50K orders/day with payment integration
Real-time Analytics: Created data pipelines processing 500GB/day with Kafka and Spark
Healthcare SaaS: Developed HIPAA-compliant patient management system (20K+ users)
Fintech APIs: Built secure payment processing APIs with fraud detection (99.98% accuracy)

My approach: I thrive on ownership and execution. Give me a problem, and I'll architect the solution, write the code, set up the infrastructure, and deploy it to production. I've worked solo on critical systems and led teams on complex projects—equally comfortable in both.

Education: Executive MBA from IIT Kharagpur, M.Eng in Computer Science from BITS Pilani, and multiple cloud/AI certifications (AWS, Azure, Google Cloud).

Looking for: Challenging projects where I can architect AI solutions, mentor teams, or work as a fractional CTO/lead engineer. Remote-friendly, available for contracts or full-time roles.

AI/ML Engineer

Hands-on ML engineer building production models with TensorFlow, PyTorch, LangChain. Deployed GenAI chatbots, recommendation systems, and fraud detection—all in production.

Full-Stack Developer

13 years building complete applications—React/Angular frontends, Node.js/Python/Java backends, PostgreSQL/MongoDB databases. I own the entire stack.

Architect & Team Lead

Designed microservices architectures for 10M+ daily users. Led teams of 5-25 engineers, delivered 50+ projects on time. AWS/Azure certified solutions architect.

Education & Certifications

World-class technical and business education from premier institutions

Executive MBA

General Management

Indian Institute of Technology Kharagpur - Executive MBA

Strategic leadership, finance management, AI product strategy, and data-driven decision making for tech executives.

Master of Engineering

Computer Science

BITS Pilani - Masters in Computer Science

Advanced algorithms, distributed systems, machine learning, and software architecture from India's top-ranked engineering institute.

Bachelor of Engineering

Computer Science & Engineering

Biju Patnaik University Of Technology

Foundation in computer science fundamentals, programming, data structures, and engineering principles.

Professional Certifications

  • 🏅 AWS Certified Solutions Architect
  • 🏅 Azure AI Engineer Associate
  • 🏅 Google Cloud Professional ML Engineer
  • 🏅 CFA Level I Candidate
  • 🏅 Certified Kubernetes Administrator (CKA)
  • 🏅 MLOps Specialization (DeepLearning.AI)

Professional Experience

13 years delivering production systems—from solo projects to leading engineering teams

2012 - PRESENT (13 Years)

Lead Engineer & Architect

LuxLogic Technology | Software Development & Consulting

LuxLogic Technology
What I've Built:
  • 🤖 GenAI Chatbot Platform: Architected RAG-powered conversational AI using GPT-4, LangChain, and Pinecone—deployed on AWS with 150M+ monthly users and 99.9% uptime
  • E-commerce Microservices: Built complete order management system (Node.js, MongoDB, Redis) processing 50K+ daily orders with Stripe/PayPal integration
  • 📊 Real-time Analytics Pipeline: Created data pipeline with Kafka, Spark, and Elasticsearch handling 500GB/day for business intelligence dashboards
  • Healthcare SaaS Platform: Developed HIPAA-compliant patient management system (React + Django + PostgreSQL) serving 20K+ healthcare providers
  • Fintech Payment APIs: Designed secure payment processing backend with fraud detection ML models achieving 99.98% accuracy (Python + TensorFlow)
  • Mobile App Backend: Built RESTful APIs for iOS/Android apps with 2M+ downloads, handling authentication, push notifications, and real-time features
  • ☁️ Cloud Infrastructure: Migrated 15+ legacy applications to AWS/Azure, reducing costs by 40% while improving performance and scalability
  • Team Leadership: Led engineering teams of 5-25 developers, conducted code reviews, established CI/CD pipelines, and mentored junior engineers
Technologies Used Daily:
Python Node.js React TypeScript AWS Docker Kubernetes PostgreSQL MongoDB TensorFlow PyTorch LangChain

2020 - PRESENT

Fractional CTO & Consultant

Independent Consulting

Help startups and mid-size companies architect scalable systems, set up cloud infrastructure, and build AI/ML capabilities. Typical engagements: technical due diligence, system architecture reviews, hiring senior engineers, establishing DevOps practices.

Recent Projects: Fintech payment platform, Healthcare telemedicine app, E-learning platform with AI tutoring

2022 - PRESENT

Technical Educator

YouTube & Online Teaching

YouTube

Create educational content on software architecture, AI/ML engineering, and cloud technologies. Teaching complex technical concepts in simple, practical terms.

Topics: System Design, Microservices, AI Implementation, Cloud Architecture

What I Can Do For You

Full-Stack Development | AI/ML | Cloud Architecture

Whether you need a complete system built, AI integrated into your product, or technical leadership—I deliver production-ready solutions.

💻

Full-Stack Web & Mobile Apps

Build complete web/mobile applications from scratch. React, Angular, Vue, React Native, Flutter. Backend with Node.js, Python, .NET. Databases, APIs, auth—everything.

  • SaaS & B2B platforms
  • E-commerce & marketplaces
  • Mobile apps (iOS/Android)
  • Progressive Web Apps (PWA)
  • Admin dashboards & CRM

⏱️ Typical delivery: 8-14 weeks

🤖

GenAI & ChatGPT Integration

Add cutting-edge AI to your product. ChatGPT/GPT-4 integration, RAG chatbots, LangChain workflows, AI agents, prompt engineering—fully customized.

  • Customer support chatbots (RAG)
  • AI content generation
  • Document Q&A systems
  • Custom GPT applications
  • LLM fine-tuning & optimization

⏱️ Typical delivery: 4-8 weeks

🎯

Agentic AI Systems

Build intelligent AI agents that can reason, plan, and execute complex tasks autonomously. Multi-agent systems, tool integration, workflow automation with AI.

  • Multi-agent orchestration (CrewAI, AutoGen)
  • ReAct & tool-calling agents
  • Research & analysis agents
  • Code generation agents
  • Task planning & execution systems

⏱️ Typical delivery: 6-10 weeks

🧠

Machine Learning & AI Models

Custom ML solutions for real business problems. Recommendation systems, fraud detection, image/video analysis, NLP, predictive analytics—deployed & monitored.

  • Recommendation engines
  • Fraud detection systems
  • Computer vision (OCR, detection)
  • Sentiment analysis & NLP
  • MLOps & model deployment

⏱️ Typical delivery: 8-14 weeks

☁️

Cloud Architecture & DevOps

Set up scalable cloud infrastructure on AWS/Azure. Docker, Kubernetes, CI/CD pipelines, monitoring, auto-scaling—production-grade from day one.

  • Cloud migration (AWS/Azure)
  • Microservices architecture
  • CI/CD pipeline setup
  • Infrastructure as Code

⏱️ Typical delivery: 4-8 weeks

🎯

Fractional CTO / Tech Lead

Part-time technical leadership for startups and growing companies. Architecture decisions, team hiring, code reviews, tech stack selection, roadmap planning.

  • System architecture design
  • Technical hiring support
  • Engineering best practices
  • Technology roadmap

⏱️ Engagement: 10-20 hrs/week

Data Engineering & Analytics

Build data pipelines and analytics systems. ETL workflows, real-time processing, dashboards, data warehouses—turn data into insights.

  • Data pipelines (Kafka, Spark)
  • Analytics dashboards
  • Data warehousing
  • Business intelligence

⏱️ Typical delivery: 6-12 weeks

🔧

API & Microservices

Design and build scalable REST/GraphQL APIs, microservices architecture, third-party integrations. Payment gateways, webhooks, OAuth—secure & documented.

  • RESTful & GraphQL APIs
  • Microservices migration
  • Payment integrations (Stripe, Razorpay)
  • Third-party API connectors
  • Webhook & event systems

⏱️ Typical delivery: 3-7 weeks

Automation & RPA

Automate repetitive tasks and business processes. Web scraping, data extraction, workflow automation, bot development, scheduled jobs—save time & costs.

  • Web scraping & data mining
  • Business process automation
  • Email & notification bots
  • Report generation automation
  • Selenium & Puppeteer workflows

⏱️ Typical delivery: 2-6 weeks

🔗

Blockchain & Web3

Build decentralized applications, smart contracts, NFT platforms, crypto wallets. Ethereum, Solidity, Web3.js, IPFS—production-grade blockchain solutions.

  • Smart contract development
  • DApp (decentralized apps)
  • NFT marketplaces
  • Crypto wallet integration
  • Token creation & ICO platforms

⏱️ Typical delivery: 6-12 weeks

Let's Build Something Great Together

I work on contract, hourly, or project basis. Remote-friendly with flexible hours. Based in Bangalore, India (GMT+5:30).

Technology Stack

100+ Technologies Across Full Stack, AI/ML & Cloud

Click any logo below to see proficiency level. From Python to Kubernetes, TensorFlow to AWS—I've built production systems with all of these.

🤖 AI/ML & Generative AI

Agentic AI & AI Agents92%

LangGraph, AutoGen, CrewAI, Multi-Agent Systems, ReAct, Tool Calling, Function Calling, Agent Orchestration, Memory Systems, LangChain Agents

Machine Learning & Deep Learning95%

TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Neural Networks, Ensemble Methods, Transfer Learning

Generative AI & LLMs90%

GPT-4, Claude, Llama, Gemini, RAG (Retrieval-Augmented Generation), LangChain, Vector Databases (Pinecone, Weaviate, ChromaDB), Prompt Engineering, Fine-tuning

NLP & Computer Vision85%

BERT, Transformers, spaCy, NLTK, Hugging Face, OpenCV, YOLO, Semantic Search, Entity Recognition

⚙️ MLOps & AI Infrastructure

MLOps Platforms & Orchestration95%

MLflow, Kubeflow, Airflow, Prefect, DVC, Model Versioning, Experiment Tracking, Feature Stores

Cloud AI Services92%

AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, Snowflake, Model Deployment, Auto-scaling

Containerization & Kubernetes90%

Docker, Kubernetes, Helm, Istio, KServe, Model Serving, GPU Orchestration, Resource Optimization

☁️ Cloud Platforms & Architecture

AWS (Amazon Web Services)95%

EC2, EKS, Lambda, S3, RDS, DynamoDB, SageMaker, Bedrock, CloudWatch, IAM, VPC, Solutions Architect Certified

Microsoft Azure88%

Azure ML, AKS, Functions, Cosmos DB, Synapse, OpenAI Service, Key Vault, AI Engineer Associate Certified

Google Cloud Platform82%

Vertex AI, GKE, BigQuery, Cloud Functions, Dataflow, Professional ML Engineer Certified

💹 Finance & Quantitative Analysis

Quantitative Finance & Risk Analytics88%

Credit Risk Modeling (PD/LGD/EAD), VaR, CVaR, Market Risk, Portfolio Optimization, Backtesting, Monte Carlo Simulation

Financial AI Applications90%

Fraud Detection, AML/KYC, Credit Scoring, Algorithmic Trading, Real-time Risk Monitoring, Robo-Advisory

Regulatory Technology (RegTech)85%

SOX Compliance, GDPR, FINRA, OCC Guidelines, Model Risk Management (SR 11-7), Audit Trails, Data Privacy

🛡️ AI Governance & Security

AI Governance & Model Risk92%

Model Validation Frameworks, Bias Detection, Explainability (SHAP, LIME), Model Documentation, Risk Assessments

AI Security & Privacy87%

Data Encryption, Federated Learning, Differential Privacy, Secure Enclaves, PII Protection, Access Controls

DevSecOps82%

Security Scanning, Vulnerability Management, SAST/DAST, Container Security, Secret Management, Zero Trust

🗄️ Data Engineering & Backend

Data Engineering & ETL93%

Spark, Kafka, Flink, Data Pipelines, Stream Processing, Data Lakes, Data Warehousing, dbt

Databases & Storage90%

PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Cassandra, Snowflake, Vector DBs (Pinecone, Milvus)

Backend Development & APIs95%

Python (FastAPI, Django, Flask), Java (Spring Boot), Node.js, GraphQL, REST APIs, Microservices, gRPC

👥 Engineering Leadership & Strategy

Technical Leadership & Team Management92%

Led teams 5–120 engineers, Hiring & Talent Strategy, Performance Management, Agile/Scrum, Remote Leadership

AI Product Strategy & Roadmapping88%

AI Roadmap Design, OKRs, Stakeholder Management, Business Case Development, ROI Analysis, Executive Coaching

Cross-Functional Collaboration & DEI90%

Product/Engineering/Business Alignment, DEI Initiatives, Mentorship Programs, Change Management

15+

Enterprise AI Launches

$2.4B+

Assets Safeguarded

150M+

Monthly Active Users

0

Compliance Violations

Featured Projects

Real Systems I've Built & Deployed

Here's a closer look at some actual projects—what the challenge was, how I solved it, and what technologies I used.

💬 GenAI Chatbot Platform

Customer Support | 150M Monthly Users

The Challenge: Company needed intelligent customer support chatbot that could handle complex queries, integrate with existing systems, and scale to millions of users.

What I Built: RAG-powered chatbot using GPT-4 and custom knowledge base, with real-time integration to transaction systems, user authentication, analytics dashboard, and admin panel.

Tech Stack: GPT-4, LangChain, Pinecone (vector DB), Python FastAPI, React, PostgreSQL, Redis, AWS EKS, Docker

Results:

  • ✅ Serving 150M+ users monthly
  • ✅ 78% automation rate for customer queries
  • ✅ 99.95% uptime maintained
  • ✅ Delivered in 10 weeks

🛒 E-commerce Platform (Full Stack)

Retail | 50K Orders Daily

The Challenge: Build complete e-commerce system from scratch with product catalog, shopping cart, payment processing, order management, and admin dashboard.

What I Built: Microservices architecture with separate services for catalog, cart, payments (Stripe/Razorpay), orders, and notifications. Real-time inventory, recommendation engine, and analytics.

Tech Stack: Node.js (Express), React, MongoDB, Redis, Elasticsearch, Kafka, Docker, Kubernetes, AWS, Stripe API

Results:

  • ✅ Handles 50,000 orders/day
  • ✅ 99.9% uptime during peak sales
  • ✅ AI-powered product recommendations
  • ✅ Completed in 12 weeks

🏥 Healthcare SaaS Platform

Healthcare | 20K Providers

The Challenge: HIPAA-compliant patient management system with appointment scheduling, EMR, billing, telemedicine, and provider network management.

What I Built: Multi-tenant SaaS with role-based access, encrypted data storage, audit logging, video consultation integration, payment processing, and mobile apps for patients/providers.

Tech Stack: Python Django, PostgreSQL, React Native, WebRTC, AWS (S3, Lambda, RDS), Redis, Twilio, Stripe

Results:

  • ✅ 20,000+ healthcare providers onboarded
  • ✅ HIPAA-compliant architecture
  • ✅ 500GB patient data processed daily
  • ✅ Zero security breaches

📊 Agentic AI Research Platform

Enterprise AI | Multi-Agent System

The Challenge: Build an autonomous AI system that can conduct market research, analyze competitors, generate reports, and provide strategic insights without human intervention.

What I Built: Multi-agent system using CrewAI and AutoGen with specialized agents for web scraping, data analysis, content generation, and quality assurance. Agents collaborate, share context, and execute complex workflows.

Tech Stack: LangGraph, AutoGen, CrewAI, GPT-4, Anthropic Claude, Pinecone, Python, FastAPI, React, PostgreSQL

Results:

  • ✅ 80% reduction in research time
  • ✅ 4 specialized AI agents working together
  • ✅ Automated 500+ research reports
  • ✅ 95% accuracy in insights generation

💹 Investment Portfolio Platform

Fintech | $2.4B+ AUM

The Challenge: Build investment management platform with real-time market data, portfolio analytics, risk assessment, rebalancing automation, and regulatory compliance for institutional investors.

What I Built: Full-stack platform with ML-powered risk analytics, automated rebalancing, real-time market data integration (Bloomberg, Reuters), compliance reporting, and AI-driven investment insights.

Tech Stack: Python (FastAPI, Pandas, NumPy), React, PostgreSQL, TimescaleDB, Kafka, Redis, TensorFlow, AWS, Bloomberg API

Results:

  • ✅ $2.4B+ assets under management
  • ✅ Real-time processing of 500K+ securities
  • ✅ 40% faster portfolio rebalancing
  • ✅ SEC & FINRA compliant reporting

💰 Algorithmic Trading System

Quantitative Finance | High-Frequency Trading

The Challenge: Develop high-frequency trading system with ML-based prediction models, backtesting engine, risk management, and real-time order execution across multiple exchanges.

What I Built: Low-latency trading infrastructure with ML models (LSTM, XGBoost) for price prediction, technical indicators, sentiment analysis from news/social media, automated risk controls, and performance analytics.

Tech Stack: Python (NumPy, Pandas, Scikit-learn), C++ (low-latency), PostgreSQL, Redis, Kafka, TensorFlow, WebSocket APIs, AWS

Results:

  • ✅ <5ms average trade execution latency
  • ✅ 1000+ trades executed per second
  • ✅ 72% prediction accuracy on price movements
  • ✅ Automated risk controls prevented $2M+ losses

💳 Fintech Payment APIs

Finance | 5M Transactions/Day

The Challenge: Build scalable payment processing APIs with real-time fraud detection, multi-currency support, reconciliation, and compliance reporting.

What I Built: RESTful APIs for payment processing, ML-based fraud detection (99.98% accuracy), automated reconciliation, webhook notifications, and merchant dashboard.

Tech Stack: Java Spring Boot, PostgreSQL, Kafka, Redis, TensorFlow, AWS, Docker, Kubernetes, Grafana

Results:

  • ✅ 5M transactions processed daily
  • ✅ 99.98% fraud detection accuracy
  • ✅ <100ms API response time
  • ✅ PCI-DSS compliant

Technical Proficiency Across 100+ Technologies

Click any technology logo to explore detailed expertise

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Recommendations

What Clients Say

Real feedback from past projects and collaborations

Technologies & Tools I Work With

Let's Work Together

Get In Touch

Available for contract work, fractional CTO roles, and technical consulting. Based in Bangalore, open to remote projects worldwide.

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� Work Preferences

  • ✅ Contract projects (hourly or fixed-price)
  • ✅ Fractional CTO / Part-time Tech Lead
  • ✅ Remote-first (global clients welcome)
  • ✅ Full-time roles (if the fit is right)
  • ✅ Open to relocation for exceptional opportunities

Typical Response Time: Within 24 hours on weekdays

🔒 Security-First Delivery: SOC 2 compliant | GDPR aligned | NDA standard | Remote-ready EST–CET

Fully remote-ready across EST–CET time zones | 12-week typical delivery for transformation programs | 95% on-time, on-budget track record