Multilingual Sales Insight Chatbot (LLMS, AWS, Python)
Summary
Developed for a chain of pharma companies.
AI/ML Engineer specializing in Large Language Models (LLMs), Generative AI, and agent-based architectures, with extensive hands-on experience developing and deploying production-grade intelligent applications. Demonstrated expertise in building real-time, scalable NLP systems, automation pipelines, and interactive workflows, consistently delivering research-driven, high-impact solutions that enhance performance and user engagement.
AI Engineering Associate
Highlights
Developed an English-Japanese conversational chatbot leveraging Lang Chain agents, implementing a Text-to-SQL tool and dynamic graph-generation capabilities; optimized query resolution by 50%, delivering an average response time of 5 seconds on AWS.
Engineered and deployed a multi-agent system using LangGraph on client environments to intelligently generate configuration files, dynamically prompting users for missing or related entities in sequence, reducing configuration task time by 67% and improving adaptability by 40% for 1500+ users.
Built an automated pipeline using LangGraph, integrating intelligent entity extraction (with proactive prompting for missing details) and guideline-based asset generation and validation, boosting workflow efficiency by 35% and improving personalization.
Spearheaded real-time PowerPoint generation from a data source and streamlined VBA designs with an API-driven template system, reducing document preparation time by up to 70% and scaling solutions across 500+ users and 20+ projects.
Co-Founder
Highlights
Orchestrated backend system development with a 3-developer team, completing 20% ahead of schedule and improving performance by 35% through seamless integration.
Crafted user-centric UI/UX for MYOSIC app using Flutter, achieving 90% satisfaction in pre-launch feedback.
Championed a strategic growth plan, securing INR100K pre-seed funding via targeted outreach, significantly enhancing operational capacity.
Bachelor of Engineering
Computer Science and Engineering
Higher Secondary Board Examination(Class XII)
Secondary Board Examination (Class X)
Summary
Developed for a chain of pharma companies.
Summary
Built for a $300B company.
Research Project
Summary
Built and developed a OpenV networks switch for DRDO(India) which is currently being used by Indian Army.
Python, C++, C, Go, NLP, RAG, LLMs, Agents, Langchain, Langgraph.
TCP/IP, HTTP, SSL, DNS.
Linux, Git, Docker, Kubernetes, Jenkins, AWS.