Transforming businesses through cutting-edge AI solutions | 12+ years crafting enterprise-scale systems | Leading teams in building next-gen LLM applications
I'm a Senior Lead AI Engineer at BCS Technosoft, specializing in building production-ready Generative AI solutions that serve 200+ active users daily. With 6+ years of deep ML expertise, I architect and deploy LLM-powered systems that revolutionize how developers code, teams collaborate, and businesses operate.
π― Current Focus: Leading AI initiatives in code generation, intelligent automation, and RAG architectures using GPT-4, Claude, and Gemini
π¬ Research Impact: Published 3 peer-reviewed papers on scalable AI systems | Active contributor to Jaseci open-source project
VS Code Extension powered by GPT-4/Claude
- 200+ daily active users accelerating their development workflow
- Features: Intelligent code generation, refactoring, debugging, and optimization
- Tech: GPT-4, Claude, FastAPI, TypeScript
LLM-powered code review system
- Reduced review time by 40%, catches 25% more critical issues
- Seamless integration with Git, Azure DevOps, and Bitbucket
- Tech: LLMs, Python, FastAPI, Git APIs
Large-scale Q&A platform
- Processing millions of documents with 95% accuracy
- Semantic search across multiple data sources
- Tech: ChromaDB, Qdrant, LangChain, GPT-4
Comparative analysis platform for LLM selection
- Benchmarks GPT-4, Claude, Gemini, Llama across 15+ metrics
- Helps organizations optimize model selection and costs
- Tech: Ollama, vLLM, OpenAI APIs, Anthropic APIs
Communication enhancement tool
- Real-time sentiment analysis and tone optimization
- Deployed across 3 enterprise clients for training
- Tech: Fine-tuned LLMs, FastAPI, Python
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Scaling Down to Scale Up: Cost-Benefit Analysis of Proprietary vs Open-Source LLMs (2024)
- IEEE Conference on AI Systems
- Comprehensive analysis of LLM deployment strategies in production
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The Jaseci Programming Paradigm and Runtime Stack (2023)
- IEEE Computer Architecture Letters
- Novel framework for AI application deployment at scale
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Towards Personalized Intelligence at Scale (2022)
- International Conference on Machine Learning Applications
- Architecture for user-specific AI model optimization
Senior Lead AI Engineer @ BCS Technosoft (Nov 2021 - Present)
- Leading team of 8+ engineers building enterprise AI solutions
- Architected 5 production-grade AI products serving 200+ users
- Reduced model costs by 40% through strategic LLM selection
Senior Software Developer (AI/ML) @ Diatoz Solutions (Dec 2020 - Nov 2021)
- Deployed AI modules reducing production issues by 30%
- Built LLM-powered hiring platform improving efficiency by 50%
Software Developer @ Traform Travel Technologies (Jun 2020 - Dec 2020)
- Enhanced NLP chatbot increasing engagement by 40%
- Integrated speech recognition improving accessibility by 35%
- PG Diploma in Machine Learning & AI - IIIT Bangalore (2019-2020)
- Master of Computer Applications - VTU Bangalore (2010-2013)
- Bachelor of Computer Applications - MAKAUT Kolkata (2007-2010)
- π¬ 3 Published Papers at IEEE and top ML conferences
- π Open Source Contributor - Jaseci Project for AI deployment
- π₯ Tech Lead - Managing and mentoring teams of 8+ engineers
- π 200+ Users actively using AI tools I've developed
- π 40% Cost Reduction in LLM deployment strategies
I'm passionate about pushing the boundaries of what's possible with AI. Whether you're interested in:
- π€ Collaborating on open-source AI projects
- π‘ Discussing LLM optimization strategies
- ποΈ Building scalable AI architectures
- π Research in Generative AI
Feel free to reach out!
π§ Email: [email protected]
π Location: Kolkata, India
π LinkedIn: Connect with me
"Transforming complex AI challenges into elegant, scalable solutions that drive real business value."