- Designed a modular REST API for AI-driven resume evaluation, with clean separation of parsing, scoring, and response layers.
- Used TF-IDF vectorization and cosine similarity for semantic matching rather than brittle keyword overlap.
- Tuned request handling so typical evaluations complete in under two seconds.
B.Tech CSE · MIT ADT University · 2026
MihirTamboli
Graduate engineer building AI systems that make information usable.
Pune, India · Open to full-time roles
About
A short brief
I recently completed a B.Tech in Computer Science and Engineering at MIT ADT University, Pune. I design and ship AI-backed products — retrieval systems, resume-to-role matching, diagnostic models, and full-stack platforms — with the same care I give to APIs, data models, and deployment.
My work sits at the intersection of machine learning, data analytics, and backend engineering. I prefer learning by building: production-shaped FastAPI and Flask services, React interfaces, MySQL and vector stores, and Dockerized pipelines. I am looking for a full-time role where those skills turn into measurable product outcomes.
2023 – 2026
B.Tech, Computer Science and Engineering
MIT ADT University, Pune
CGPA 7.41
2020 – 2023
Diploma, Computer Science and Engineering
SVERI’s College of Polytechnic, Pandharpur
76.14%
Selected work
Projects with a point of view
- Built ingestion, chunking, embedding, and semantic retrieval as independent modules so the pipeline can grow without a rewrite.
- Combined ChromaDB retrieval, reranking, prompt assembly, and conversational memory into one cohesive backend.
- Packaged the service with Docker for repeatable deploys and kept configuration out of source.
- Led a four-person team to ship a Flask + MySQL backend and a React frontend, including auth, tests, and result reports.
- Trained a scikit-learn classifier on academic scores and aptitude features to recommend paths, courses, and college options.
- Integrated an AI chatbot so students can ask follow-up questions after the recommendation, not just read a static report.
- Trained a Keras/TensorFlow convolutional network with preprocessing and augmentation on labeled MRI slices.
- Classifies four outcomes with a reported 96% accuracy on the evaluation set, and returns a confidence score with each prediction.
- Shipped a simple upload interface so clinicians and students can test the model without a notebook.
- Wired Google’s Gemini API behind a Python service with prompt control and secure key handling.
- Focused on real-time, context-aware replies rather than a one-shot chatbot wrapper.
- Modeled requests with Pydantic, rejected invalid amounts, and assigned IDs on the server so clients cannot spoof them.
- Kept storage behind a swappable class so the same routes can later sit on a database without a rewrite.
- Implemented inventory, contacts, and invoice flows in Java with automatic GST calculation and unique bill numbers.
- Generated downloadable PDF invoices so small businesses can move off paper without a cloud dependency.
- Modeled sales and customer facts into a Power BI model with regional and monthly cuts.
- Surface trends that support inventory and campaign decisions rather than a static report dump.
Experience
Training and industry simulations
Jul 2022 – Aug 2022
In-plant Trainee — Python & Android
TechnoWings International IT Solution
Completed a six-week in-plant program on real-time software development with advanced Python and Android. Built practical billing and mobile flows under industry supervision.
Solapur
Jun 2026
Data Analytics Job Simulation
Deloitte (Forage)
Completed practical tasks in data analysis and forensic technology: structuring evidence, reading patterns in messy data, and writing findings a client team can act on.
Remote
Jun 2026
GenAI-Powered Data Analytics Simulation
Tata (Forage)
Exploratory analysis and risk profiling, delinquency prediction with AI, a collections strategy brief, and an implementation plan for an AI-driven collections workflow.
Remote
Jun 2026
Software Engineering Job Simulation
Wells Fargo (Forage)
Designed and implemented a data model — translating business entities into a schema that can actually be built.
Remote
Capabilities
A working stack, not a laundry list
Languages
- Python
- Java
- SQL
- JavaScript
Engineering
- REST API design
- JWT auth
- Data modelling
- OOP & DSA
- Secure coding
AI & ML
- Machine learning
- Deep learning
- NLP
- Computer vision
- LangChain & RAG
- Prompt engineering
- Agentic systems
- MCP
Frameworks
- Flask
- FastAPI
- React
- TensorFlow
- Keras
- Scikit-learn
Data
- MySQL
- ChromaDB
- Power BI
- Pandas
- OpenCV
Tools
- Git
- GitHub
- Docker
- Postman
- VS Code
Credentials
Certificates that can be checked
- CertificationJul 2026
Power BI Data Analyst Associate (PL-300)
Microsoft
Verify
- CertificationMar 2026
IT Specialist: Databases
Certiport · Pearson
Verify
- CertificationMay 2025
AWS Academy Cloud Foundations
AWS Academy
Verify
- CourseMay 2026
Python for Data Science (PY0101EN)
IBM
Verify
- CourseAug 2025
Neural Networks and Deep Learning
DeepLearning.AI
Verify
- CourseAug 2025
Convolutional Neural Networks
DeepLearning.AI
Verify
- CourseMar 2025
Foundations: Data, Data, Everywhere
Google
Verify
- CourseOct 2025
Computer Vision
NPTEL · IIT Kharagpur