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AI Engineer with less than a year in Machine Learning & Generative AI.
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Driven Machine Learning and Generative AI Engineer with a Master's in Data Science and hands-on experience building and deploying AI-powered systems. Proficient in Python, TensorFlow, PyTorch, SQL, and cloud technologies (AWS, Docker, Kubernetes). Experienced in developing, fine-tuning, and integrating Large Language Models (LLMs) for end-to-end machine learning solutions. Seeking a full-time role to apply expertise in machine learning, deep learning, and generative AI to deliver scalable and intelligent data-driven products.
COEP Technological University
M.Tech. · Data Science
August 1, 2023 – June 30, 2025
Government College of Engineering and Research, Awasari
B.E. · Computer Engineering
August 1, 2019 – June 30, 2023
PugArch Technology Pvt. Ltd.
Junior Software Developer (Intern)
October 1, 2024 – December 1, 2024
Nagpur, Maharashtra, India
Internship Studio
Junior Developer
February 1, 2022 – March 1, 2022
Pune, Maharashtra, India
Social Distancing Detector
June 8, 2026 – Present
Implemented a real-time social distancing violation detector using YOLOv3 on live video feeds. Optimized detection pipeline to process video at 20 FPS, enabling efficient real-time monitoring and alerts.
AI Medical Health Assistant (RAG Approach)
June 8, 2026 – Present
Engineered an enterprise-grade RAG platform to query a corpus of 10,000+ medical research papers, enabling secure, context-aware question-answering. Integrated multiple OpenRouter-based LLMs, achieving a 40% improvement in response relevance over single-LLM baselines. Built an intuitive Streamlit front-end to support interactive usage by non-technical users.
Multi-Agent Text-to-SQL System (Inspired by Uber's QueryGPT)
June 8, 2026 – Present
Developed a production-ready multi-agent Text-to-SQL system for intelligent query optimization across multiple database domains. Implemented six specialized agents (Intent Detection, Table Selector, Column Pruning, SQL Generation, Explainability, Chart Generator) to modularize processing. Integrated semantic embeddings with ChromaDB, improving SQL accuracy and contextual relevance.
Resume ATS Optimizer
June 8, 2026 – Present
Created an AI-powered tool to analyze and score resumes against job descriptions, providing keyword optimization suggestions. Leveraged Gemini Pro Vision to extract structured text from PDFs, achieving 98% parsing accuracy across varied templates. Conducted user testing, showing a 25-30% improvement in average keyword match scores.
GenAI Powered Data Analytics
Tata
July 1, 2025 – Present
AI Medical Health Assistant: RAG Approach
IEEE I2ITCON
January 1, 2025 – Present
Data Science
British Airways
June 1, 2024 – Present
Power BI
PwC Switzerland
June 1, 2024 – Present
Data Science
BCG
June 1, 2024 – Present
Data Visualization
Tata
June 1, 2024 – Present
Real-Time Social Distancing Detection
IJSRD
June 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects are diverse, covering RAG, multi-agent systems, computer vision, and NLP, indicating a broad interest in AI sub-domains. The certifications from various companies (Tata, PwC, British Airways, BCG) suggest a proactive approach to learning and professional development. The target role of 'AI Engineer' aligns well with the candidate's project experience and stated objective. However, the experience is primarily academic and internship-based, which might require some adjustment to a fast-paced, production-focused corporate environment.
Soft Skills & Operational Fit
The candidate's resume highlights 'Analytical Problem Solving, Collaboration, Adaptability, Data Storytelling' as soft skills. Project descriptions indicate collaboration (e.g., 'Collaborated with backend and ML teams') and problem-solving (e.g., 'achieving 40% improvement in response relevance'). The academic projects demonstrate initiative and a drive to apply advanced AI concepts to real-world problems, suggesting a good operational fit for an innovative AI engineering team.