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Enterprise AI Launches

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.
World-class technical and business education from premier institutions
General Management
Strategic leadership, finance management, AI product strategy, and data-driven decision making for tech executives.
Computer Science
Advanced algorithms, distributed systems, machine learning, and software architecture from India's top-ranked engineering institute.
Computer Science & Engineering
Foundation in computer science fundamentals, programming, data structures, and engineering principles.
13 years delivering production systems—from solo projects to leading engineering teams
LuxLogic Technology | Software Development & Consulting
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
YouTube & Online Teaching
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
Whether you need a complete system built, AI integrated into your product, or technical leadership—I deliver production-ready solutions.
Build complete web/mobile applications from scratch. React, Angular, Vue, React Native, Flutter. Backend with Node.js, Python, .NET. Databases, APIs, auth—everything.
⏱️ Typical delivery: 8-14 weeks
Add cutting-edge AI to your product. ChatGPT/GPT-4 integration, RAG chatbots, LangChain workflows, AI agents, prompt engineering—fully customized.
⏱️ Typical delivery: 4-8 weeks
Build intelligent AI agents that can reason, plan, and execute complex tasks autonomously. Multi-agent systems, tool integration, workflow automation with AI.
⏱️ Typical delivery: 6-10 weeks
Custom ML solutions for real business problems. Recommendation systems, fraud detection, image/video analysis, NLP, predictive analytics—deployed & monitored.
⏱️ Typical delivery: 8-14 weeks
Set up scalable cloud infrastructure on AWS/Azure. Docker, Kubernetes, CI/CD pipelines, monitoring, auto-scaling—production-grade from day one.
⏱️ Typical delivery: 4-8 weeks
Part-time technical leadership for startups and growing companies. Architecture decisions, team hiring, code reviews, tech stack selection, roadmap planning.
⏱️ Engagement: 10-20 hrs/week
Build data pipelines and analytics systems. ETL workflows, real-time processing, dashboards, data warehouses—turn data into insights.
⏱️ Typical delivery: 6-12 weeks
Design and build scalable REST/GraphQL APIs, microservices architecture, third-party integrations. Payment gateways, webhooks, OAuth—secure & documented.
⏱️ Typical delivery: 3-7 weeks
Automate repetitive tasks and business processes. Web scraping, data extraction, workflow automation, bot development, scheduled jobs—save time & costs.
⏱️ Typical delivery: 2-6 weeks
Build decentralized applications, smart contracts, NFT platforms, crypto wallets. Ethereum, Solidity, Web3.js, IPFS—production-grade blockchain solutions.
⏱️ Typical delivery: 6-12 weeks
I work on contract, hourly, or project basis. Remote-friendly with flexible hours. Based in Bangalore, India (GMT+5:30).
Click any logo below to see proficiency level. From Python to Kubernetes, TensorFlow to AWS—I've built production systems with all of these.
LangGraph, AutoGen, CrewAI, Multi-Agent Systems, ReAct, Tool Calling, Function Calling, Agent Orchestration, Memory Systems, LangChain Agents
TensorFlow, PyTorch, Scikit-learn, XGBoost, LightGBM, Neural Networks, Ensemble Methods, Transfer Learning
GPT-4, Claude, Llama, Gemini, RAG (Retrieval-Augmented Generation), LangChain, Vector Databases (Pinecone, Weaviate, ChromaDB), Prompt Engineering, Fine-tuning
BERT, Transformers, spaCy, NLTK, Hugging Face, OpenCV, YOLO, Semantic Search, Entity Recognition
MLflow, Kubeflow, Airflow, Prefect, DVC, Model Versioning, Experiment Tracking, Feature Stores
AWS SageMaker, Azure ML, GCP Vertex AI, Databricks, Snowflake, Model Deployment, Auto-scaling
Docker, Kubernetes, Helm, Istio, KServe, Model Serving, GPU Orchestration, Resource Optimization
EC2, EKS, Lambda, S3, RDS, DynamoDB, SageMaker, Bedrock, CloudWatch, IAM, VPC, Solutions Architect Certified
Azure ML, AKS, Functions, Cosmos DB, Synapse, OpenAI Service, Key Vault, AI Engineer Associate Certified
Vertex AI, GKE, BigQuery, Cloud Functions, Dataflow, Professional ML Engineer Certified
Credit Risk Modeling (PD/LGD/EAD), VaR, CVaR, Market Risk, Portfolio Optimization, Backtesting, Monte Carlo Simulation
Fraud Detection, AML/KYC, Credit Scoring, Algorithmic Trading, Real-time Risk Monitoring, Robo-Advisory
SOX Compliance, GDPR, FINRA, OCC Guidelines, Model Risk Management (SR 11-7), Audit Trails, Data Privacy
Model Validation Frameworks, Bias Detection, Explainability (SHAP, LIME), Model Documentation, Risk Assessments
Data Encryption, Federated Learning, Differential Privacy, Secure Enclaves, PII Protection, Access Controls
Security Scanning, Vulnerability Management, SAST/DAST, Container Security, Secret Management, Zero Trust
Spark, Kafka, Flink, Data Pipelines, Stream Processing, Data Lakes, Data Warehousing, dbt
PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch, Cassandra, Snowflake, Vector DBs (Pinecone, Milvus)
Python (FastAPI, Django, Flask), Java (Spring Boot), Node.js, GraphQL, REST APIs, Microservices, gRPC
Led teams 5–120 engineers, Hiring & Talent Strategy, Performance Management, Agile/Scrum, Remote Leadership
AI Roadmap Design, OKRs, Stakeholder Management, Business Case Development, ROI Analysis, Executive Coaching
Product/Engineering/Business Alignment, DEI Initiatives, Mentorship Programs, Change Management
Enterprise AI Launches
Assets Safeguarded
Monthly Active Users
Compliance Violations
Here's a closer look at some actual projects—what the challenge was, how I solved it, and what technologies I used.
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:
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:
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:
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:
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:
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:
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:
Click any technology logo to explore detailed expertise
Real feedback from past projects and collaborations
"Bijay built our entire GenAI chatbot platform from scratch—architecture, backend, AI integration, deployment. Serving 150M users monthly with 99.95% uptime. Delivered in 10 weeks. Exactly what we needed."
"Hired Bijay to migrate our legacy monolith to microservices on AWS. He designed the architecture, led the migration, set up CI/CD, trained the team. 40% cost reduction, zero downtime. Worth every penny."
"Brought Bijay in as fractional CTO when we were scaling from 5 to 25 engineers. He hired the team, set up engineering processes, and fixed our architectural debt. Still consulting with us after 18 months."
Available for contract work, fractional CTO roles, and technical consulting. Based in Bangalore, open to remote projects worldwide.
Bangalore, India (GMT+5:30)
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