A highly accomplished Electrical Engineering dual-degree student from IIT Bombay, specializing in Communication & Signal Processing with a minor in AI & Data Science. Possessing extensive hands-on experience in AI/ML, Computer Vision, NLP, and full-stack development through impactful internships and research, consistently delivering quantifiable results in system optimization, data analysis, and advanced model development. Seeking to leverage deep technical expertise and problem-solving skills in a challenging AI/ML or Data Science role.
Full-Stack AI Intern
Mumbai, Maharashtra, India
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Summary
As a Full-Stack AI Intern, Madhav developed a secure RAG-based Q&A system for financial documents, integrating a full-stack pipeline and implementing guardrails for accurate response evaluation.
Highlights
Developed a Proof-of-Concept (POC) RAG-based Q&A system for financial documents using Ollama & Qdrant, efficiently handling PDFs with 10+ pages.
Integrated an end-to-end pipeline with FastAPI, user authentication, and an enhanced Angular UI to enable secure PDF querying.
Explored and applied the RAGAS framework to implement guardrails and enhance context matching for accurate response evaluation.
AI Research Intern
Mumbai, Maharashtra, India
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Summary
As an AI Research Intern, Madhav conducted advanced computer vision research, significantly improving detection accuracy and reducing false positives across surveillance systems.
Highlights
Boosted loitering detection by 50% using contrastive learning for background-invariant clustering across 50+ cameras.
Fine-tuned a Swin Transformer with K-fold cross-validation, achieving 83% accuracy in image segregation.
Reduced false positives by 80% across 100+ cameras through 2D linear regression for height-vs-(X,Y) coordinate filtering.
Received a Letter of Recommendation for outstanding contributions to real-world computer vision problems.
Generative AI Solutions Intern | Business Unit-CSW
Mumbai, Maharashtra, India
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Summary
As a Generative AI Solutions Intern, Madhav enhanced information search efficiency by integrating generative AI solutions and secured leadership approval for future scaled product development.
Highlights
Integrated 4 applications via APIs, SharePoint, and Copilot Studio, boosting information search efficiency by 3x across platforms.
Implemented robust API connectivity with topic triggers to fetch relevant information and generate RAG-style answers.
Presented a successful Proof-of-Concept (POC) to leadership, securing approval for future scaled product development targeting 10K+ users.
Awarded a pre-placement interview, recognizing outstanding contributions and potential for a full-time return offer.
Conversational AI and LLM Intern
Mumbai, Maharashtra, India
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Summary
As a Conversational AI and LLM Intern, Madhav developed an end-to-end conversational analytics pipeline and fine-tuned a GPT-2 summarizer model for customer conversations.
Highlights
Engineered an end-to-end conversational analytics pipeline encompassing data preparation, translation, fine-tuning, and inference.
Created 200+ conversations to identify pain points, agent scores, and semantics for GPT-2 fine-tuning and generation.
Translated OpenOrca and Samsum datasets using Opus and fine-tuned a GPT-2 summarizer model with SimpleTransformers to generate concise summaries of customer conversations in Tagalish.
Mentor
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Summary
Mentored participants in developing a Computer Vision-based Sudoku Solver during the WiDS Bootcamp.
Highlights
Mentored 10+ participants in the WiDS Bootcamp on developing a Sudoku Solver using Computer Vision.
Event Coordinator
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Summary
Managed top-tier industry relations and enhanced institutional bonding during Impulse, EESA's annual festival.
Highlights
Served as the Point of Contact (POC) for top management from companies like Samsung, Mercedes, and Reliance Jio.
Fostered valuable connections and enhanced institutional bonding through interactions with industry leaders.
Interview Coordinator
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Summary
Coordinated the placement season at IIT Bombay, facilitating interviews for thousands of students and managing firm relations.
Highlights
Coordinated a team of 250+ members to facilitate interviews for 2000+ students during the 2022-23 placement season.
Assisted 20+ firms in conducting interviews, handling student queries, and maintaining interview records.
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Dual Degree (B.Tech. + M.Tech.)
Electrical Engineering
Grade: 8.91/10.0
Courses
Programming for Data Science
Data Structure and Algorithms
Advanced Machine Learning
Optimization in Machine Learning
Markov Chains
Probability and Random Processes
Awarded By
IIT Bombay Electrical Engineering Department
Achieved 3rd place in the Electrical Engineering department-wide table tennis tournament.
Awarded By
Finance Club, IIT Bombay
Secured 2nd position in a competitive algorithmic trading hackathon.
Awarded By
Finance Club, IIT Bombay
Ranked among top 15 of 250+ teams in Finsearch, presented to industry professionals, and won a cash prize.
Awarded By
National Testing Agency
Achieved 99.989 percentile and All India Rank 164 in JEE Main examination amongst 1 million+ students.
Awarded By
Joint Admission Board
Secured All India Rank 724 out of 0.15 million+ candidates who appeared for JEE Advanced examination.
Awarded By
IISc Bangalore
Recipient of the prestigious KVPY Fellowship, recognizing academic excellence in science.
Awarded By
NCERT
Recipient of the prestigious National Talent Search Examination (NTSE) scholarship, ranked 3rd in Stage-1.
Awarded By
HBCSE
Qualified for Regional Maths Olympiad (RMO) by securing a rank in Top 1%ile in Pre-RMO.
Published by
NeurIPS 2025 (Datasets and Benchmarks Track, under review)
Summary
Co-authored a research paper on developing a benchmark for face and license plate recognition in low-resolution videos, submitted to a top-tier AI conference.
Python, JavaScript, TypeScript, C++, C#, SQL, Bash.
Git, Linux, Angular, .NET Core, Specflow, Selenium, MongoDB, CI/CD pipelines, Copilot Studio, FastAPI, AutoGen.
NumPy, Pandas, Matplotlib, PyTorch, TensorFlow, SciPy, Scikit-Learn, OpenCV, NLTK, Ollama, Qdrant, SimpleTransformers.
Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Generative AI, LLMs, RAG Systems, Algorithmic Trading, Data Science, Data Structures and Algorithms, Optimization, Markov Chains, Probability and Random Processes, Hierarchical Clustering, Correlation Analysis, Regression, Sharpe Ratio, PCA, Hypothesis Testing, Gamma GLM, Bi-LSTM, Transformers, DETR, Swin Transformer, Contrastive Learning, Submodular Optimization, OOD Data.
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Summary
Led a thesis project focused on enhancing vision model interpretability for Out-of-Distribution (OOD) data, developing a novel submodular selection and perturbation-based uncertainty framework.
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Summary
Designed and implemented a Bi-LSTM and transformer-based framework to improve NLP model interpretability and performance on sentiment analysis and text generation tasks.
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Summary
Conducted comprehensive statistical and predictive analysis on large datasets, including NEET-UG scores and food features, to identify anomalies and predict trends.
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Summary
Developed an AI-powered system for transforming tender management through semantic search, full lifecycle automation, and automated scraping.
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Summary
Designed and implemented a multi-agent system to automate AI workflows from business-specific inputs and orchestrate subtasks dynamically.
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Summary
Evaluated and optimized DETR-based object detection models by fine-tuning backbones and layers to enhance accuracy and efficiency.
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Summary
Developed an AI-powered resume assistant by fine-tuning a Mistral-7B model and optimizing it for efficient inference.
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Summary
Part of a 70+ member team designing driverless electric race cars for Formula Student competitions, representing the first Indian contingent at FS-AI 2023 at Silverstone Circuit.
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Summary
Participated in an algorithmic trading hackathon, classifying stocks, predicting index returns, and implementing an optimized portfolio allocation strategy.