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.
Academic Journey
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 Publications
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.
EduGen:
A Multi-Model Generative AI
Framework for Dynamic
Educational Resource Synthesis
Innovative multi-model generative AI framework designed for dynamic synthesis of educational resources. Leverages Transformers, GANs, VAEs, and Diffusion Models to automatically generate personalized learning materials including summaries, notes, MCQs, and STEM visuals—enabling adaptive and accessible learning systems.
EduGen demonstrates a comprehensive multi-model architecture integrating state-of-the-art generative models to synthesize dynamic, personalized educational content. The framework generates AI-powered summaries, study notes, assessment questions, and STEM visualizations—advancing intelligent, scalable, and accessible learning ecosystems.
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
- Developed backend modules in Django for authentication, role-based access, and CRUD workflows to support production-ready web features
- Built and integrated REST APIs with database operations, improving data flow between frontend and backend and reducing manual processing overhead
- 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.