OM BHUTKAR
Final-year CS undergrad at MIT Academy of Engineering, Pune & AIML Intern at Expleo Group. I build intelligent systems — LLM pipelines, RAG architectures, deep learning models — and turn complex data into real-world solutions. IEEE Published Author.
Building Intelligent
Systems
I'm Om Bhutkar, an AI/ML engineer and final-year Computer Engineering student at MIT Academy of Engineering, Alandi, Pune. My work sits at the intersection of research and engineering — taking cutting-edge AI concepts and deploying them as robust, production-ready systems.
Currently interning at Expleo Group in Hinjewadi, I'm building intelligent automation for automotive manufacturing — PFMEA risk prediction, root cause analysis systems, and AI-powered documentation platforms using LangChain, RAG, and LLMs.
I recently had my research on AI-powered resume analysis published in IEEE Xplore — a milestone that reflects my commitment to both applied engineering and academic contribution.
Tech I Work With
Things I've Built
Raga Prediction System
Automated analysis of Indian classical music using a CNN + LSTM pipeline. Real-time raga classification via spectrogram analysis, confidence-weighted predictions, and automated PDF report generation with pitch contour visualisation.
Resumate AI
AI-powered resume analyser that scores 10+ resume sections using TF-IDF and Naive Bayes, predicts career paths, matches jobs via API, runs an AI interview module, and provides an admin analytics dashboard with K-Means clustering. IEEE Published.
Market Sentiment Analyser
Pulls real-time financial news via News API, runs sentiment scoring, and overlays scores against asset price movements on an interactive dashboard with date-range and asset filters.
Law ChatBot
• Developed an AI Chatbot for IPC Section Assistance.
• Used NLP and keyword extraction to interpret user queries.
• Retrieved relevant IPC sections based on query context.
• Integrated dictionary APIs for accurate legal terminology.
• Ensured quick and reliable legal guidance for users.
IEEE Publication
ResuMate AI:
A Comprehensive Framework
for Intelligent Resume Analysis,
Scoring & Recommendation
Published research on an AI-based resume analysis system leveraging NLP for automated parsing, scoring, and recommendation. The system enhances recruitment efficiency by providing data-driven insights for recruiters and actionable feedback for job applicants.
ResuMate AI presents a multi-layered intelligent framework combining TF-IDF vectorisation, Naive Bayes classification, and K-Means clustering to deliver ATS-optimised scoring, personalised recommendations, and interview simulation — bridging the gap between candidates and recruiters.
Where I've Worked
- Developing Intelligent PFMEA Automation and AI-based Risk Prediction System for automotive manufacturing
- Building a Predictive Root Cause Analysis (RCA) System using advanced AI/ML techniques
- Designing a Smart Technical Documentation Automation Platform powered by LLMs
- Driving technical initiatives within the Department of Computer Engineering
- Mentoring fellow students and organising coding workshops and hackathon prep sessions
- Scored 90/100 in the Deep Learning track, competing against top national talent
- Demonstrated rapid problem-solving and applied DL prototyping under time pressure
Certifications & Awards
Deep Learning Track · 90/100
Top Performer Nationwide
March 2026
Let's Build
Together
I'm actively looking for full-time roles and internships in AI/ML and software engineering. If you have an interesting problem, I'd love to hear about it.