Experience
AI Engineer
Upsala
Sep 2025 – Present⚡ Production AI Systems | LLMs + Backend
Working on real-world AI systems involving LLM applications, backend APIs, and intelligent workflows.
- Developed RAG pipelines for context-aware information retrieval
- Built NL2SQL systems to convert natural language into SQL queries
- Implemented agent-based workflows for multi-step task execution
- Integrated LLMs using LangChain for production use cases
- Designed and deployed scalable backend APIs
Python AI Developer
Flynaut SaaS
Oct 2024 – Sep 2025⚡ Backend + AI Development
Worked across backend systems and AI/ML solutions for real-world applications.
- Developed REST APIs using FastAPI and Django
- Built ML models and NLP pipelines
- Created web scraping systems using Scrapy and BeautifulSoup
- Worked across full-stack development including backend and AI integration
Data Science Intern
AI Variant
May 2023 – Nov 2023⚡ ML + NLP Projects
Worked on end-to-end machine learning and NLP projects.
- Led NLP and ML projects as Team Lead
- Handled data preprocessing, model building, and evaluation
- Deployed ML models using Flask and Streamlit
Defence & Government Projects
Worked on AI systems for defence-related use cases, focusing on secure, scalable, and production-ready deployments involving LLM-based workflows and backend systems for the Indian Army.
Projects
NLP-Review System (Fake or Real)
Nov 2023Team Lead
A system to detect fake reviews using NLP techniques.
- Data Collection help
- EDA Idea lead
- Model Selection help
Music Recommendation System
Sep - Oct 2023Team Lead
A music recommendation engine.
- Data Collection help
- EDA Idea lead
- Model Selection help
LLM-Based RAG & NL2SQL System
AI Engineer
Built a production-oriented AI system combining RAG pipelines and NL2SQL to enable natural language interaction with structured data.
- Designed RAG pipelines for context-aware retrieval
- Built NL2SQL system for optimized SQL generation
- Integrated LLMs using LangChain
Agent-Based AI Workflow System
AI Engineer
Developed agent-based workflows using LLMs to handle multi-step reasoning and task execution.
- Built agent-like workflows for sequential task execution
- Handled multi-step reasoning using LLM chains
- Integrated workflows with backend APIs
Contact
Feel free to reach out to me for any opportunities or collaborations.