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Generative AI Engineer with 3+ years in Python, LangChain & RAG.
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Assessing your cultural and operational fit
Passionate Generative AI Engineer with 2+ years of Python development experience, building NLP-powered applications, production REST APIs with FastAPI, and AI-driven data pipelines. Hands-on experience deploying ML/NLP models into real-world applications and integrating AI workflows into scalable backend systems. Currently building RAG pipelines, LLM-powered chatbots, and AI agents using LangChain, OpenAI APIs, and FAISS vector databases. Strong foundation in prompt engineering, vector search, and cloud-based AI deployment using Docker. Passionate about building intelligent applications that deliver real-world impact.
ABES Engineering College
Master of Computer Application (MCA)
August 1, 2022 – June 30, 2024
ABES Engineering College
Bachelor of Computer Application (BCA)
August 1, 2019 – June 30, 2022
Whitehats Technologies
Python Developer / AI Engineer
December 1, 2023 – Present
Noida, Uttar Pradesh, India
Whitehats Technologies
Python Developer Intern
June 1, 2023 – November 30, 2023
Noida, Uttar Pradesh, India
RAG-based AI Chatbot
January 1, 2025 – Present
Building a production-ready Retrieval-Augmented Generation (RAG) chatbot using LangChain and OpenAI GPT APIs — enabling document-grounded, context-aware AI responses. Designed a complete RAG pipeline: document ingestion, text chunking, OpenAI embedding generation (text-embedding-ada-002), FAISS vector indexing, and similarity-based context retrieval. Developed a FastAPI backend with prompt engineering layer to serve LLM responses, managing conversation history and session context in PostgreSQL. Implementing LangChain AI agents with tool-calling capabilities for multi-step query decomposition and agentic AI workflows.
DataShield AI DLP
January 1, 2024 – Present
Built an AI-powered application — training and deploying a custom spaCy NER model and ML pipeline for intelligent PII and PCI card data detection with 95%+ classification accuracy. Designed an LLM-inspired hybrid pipeline (NLP + regex + rule engine) for contextual data classification — reducing false positives by 20% and improving AI output reliability. Developed and deployed FastAPI-based AI inference APIs with PostgreSQL backend, containerized via Docker — processing 10,000+ intelligent scan requests/day. Integrated the AI engine with a React dashboard for real-time monitoring and alert management, delivering a complete AI-powered application end-to-end.
Data Science Essentials with Python
Cisco Networking Academy
June 1, 2026 – Present
Complete Data Science, ML, DL, NLP Bootcamp
Krish Naik, KRISHAI Technologies
June 1, 2026 – Present
Database
Oracle Academy
June 1, 2026 – Present
React.js
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong alignment with the Generative AI Engineer role, showcasing both traditional ML/NLP and cutting-edge LLM/RAG capabilities. The diversity of projects (DLP, Chatbot) and the continuous learning through certifications indicate a proactive and adaptable mindset. The experience at Whitehats Technologies, progressing from intern to AI Engineer, suggests commitment and growth within an organization.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive approach to problem-solving and a focus on delivering tangible results (e.g., reducing false positives by 20%, 95%+ classification accuracy). Experience collaborating with cross-functional teams suggests good teamwork potential. The detailed project descriptions also imply strong communication skills in conveying technical achievements.