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AI Engineer with 3+ years in Generative AI, LLM & Machine Learning
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Python and AI/ML Engineer with 2+ years of professional experience designing and deploying production-grade Generative AI, LLM, and machine learning applications. Currently at Geek Informatic & Technologies Private Limited building AI automation workflows using n8n and Django-based AI products. Previously at Ditstek Innovations, engineered end-to-end RAG pipelines, LLMOps frameworks, AI agents, vector database integrations, and document intelligence systems using Azure AI Foundry, LangChain, OpenAI API, and FastAPI. Proficient in PostgreSQL, MySQL, model deployment, API development, and CI/CD workflows. Holds an MCA with a strong analytical foundation from eClerx applied to data-driven AI product design.
Chandigarh Group of Colleges, Landran, Punjab
Master of Computer Applications (MCA)
July 1, 2021 – July 1, 2023
Govt. College Sujanpur Tihra, Himachal Pradesh
Bachelor of Computer Applications (BCA)
July 1, 2018 – July 1, 2021
Geek Informatic & Technologies Private Limited
AI/ML Developer
May 1, 2026 – Present
Mohali, Punjab, India
Ditstek Innovations Pvt. Ltd.
Associate Software Engineer
December 1, 2025 – April 1, 2026
Mohali, Punjab, India
Ditstek Innovations Pvt. Ltd.
Python Gen AI Developer (Trainee)
January 1, 2025 – November 1, 2025
Mohali, Punjab, India
eClerx Services Ltd.
Analyst
June 1, 2023 – January 1, 2025
Chandigarh, Chandigarh, India
CS Infotech
Software Development Intern
August 1, 2022 – January 1, 2023
Chandigarh, Chandigarh, India
Zumlo - AI-Powered Mental Health & Wellbeing Platform
June 1, 2026 – Present
• Built a conversational AI Companion using LLMs, LangChain, and RAG that provides empathetic emotional support; deployed via FastAPI with PostgreSQL as the primary data store. • Engineered a dynamic profiling engine using word embeddings and vector search (Pinecone) to identify missing user profile data and intelligently prompt for it via CAG. • Developed a machine learning-based personalization engine delivering AI-driven recommendations for goals, activities, books, and videos based on behavioral patterns. • Designed adaptive prompt pipelines injecting real-time user context into GPT-4 prompts, improving response personalization by 45%.
One Dealer Lane - AI Analytics Agent & Document Intelligence
June 1, 2026 – Present
• Built an AI Analytics Agent using LLM, FastAPI, and LangChain that queries MySQL dealership data and generates Power BI-style KPI reports, trends, and NLP-based insights. • Developed a Document Analyzer using OCR and LLM-based extraction to parse 10+ document formats, images, and scanned files with 95%+ field extraction accuracy. • Implemented PDF417 barcode reading and real-time cross-validation of extracted data against official government portals, achieving 99% validation accuracy. • Integrated across a unified DMS/CRM/lender portal ecosystem via REST APIs supporting 5+ dealer data sources in a single system.
LLM Instruction Manager - Centralized AI Prompt Governance Tool
June 1, 2026 – Present
• Built a full-stack platform (FastAPI + PostgreSQL) to centrally manage 100+ LLM agent instructions with unified editing, versioning, and audit logging - deployed via Docker. • Implemented LLMOps-style environment migration (dev to staging to production), version history tracking, and CSV/Excel export for compliance and governance. • Integrated an AI review agent using OpenAI API that analyzes active instructions and recommends prompt engineering best practices, improving instruction quality by 30%.
Getting Started with AWS Machine Learning
Coursera
January 1, 2024 – Present
Introduction to Cloud Identity
Coursera
January 1, 2024 – Present
Python 3 Training Certificate
Spoken Tutorial Project, IIT Bombay
January 1, 2023 – Present
ASP.NET / ASP.NET Core MVC
CS Infotech
January 1, 2023 – Present
Web Development (HTML, CSS, JavaScript, Bootstrap)
Coursera
January 1, 2022 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role, evidenced by a consistent focus on AI/ML projects throughout their professional experience. The diversity of projects, from LLM instruction management to AI analytics agents and mental health platforms, shows adaptability and a broad interest in applying AI solutions. The continuous learning through certifications in AWS Machine Learning and Python further reinforces a growth mindset. The experience in both startup (Ditstek Innovations) and larger corporate (eClerx Services) environments suggests an ability to thrive in various organizational cultures.
Soft Skills & Operational Fit
The candidate's project descriptions highlight collaboration with cross-functional teams, architectural decision-making, and sprint planning, indicating good operational fit. The ability to translate business requirements into technical specifications suggests strong analytical and communication skills for project execution. The experience with automating workflows and optimizing database schemas points to a proactive and efficiency-driven mindset.