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I’m a Computer Science & Engineering student specialising in Artificial Intelligence & Machine Learning at Ramrao Adik Institute of Technology, D. Y. Patil University. I’m focused on building practical AI products and strengthening the research behind them.
My work spans computer vision, audio AI and language models, alongside the systems around them: data preparation, model evaluation, inference APIs, web interfaces and deployment. I care about measurable performance, reproducibility and making models useful beyond a notebook.
Research interests include computer vision, image processing, deep learning, vision transformers, multimodal AI, NLP, efficient machine learning and knowledge distillation.
AT A GLANCE
DEGREE
B.Tech · CSE (AI & ML)
INSTITUTION
Ramrao Adik Institute of Technology · D. Y. Patil University
Computer Vision · Deep Learning · Applied AI
CURRENT STATUS
Semester VII examinations completed; results pending
GRADUATION
Expected April 2027
HOW I APPROACH THE WORK
A few principles that guide how I learn, build and collaborate.
01
START WITH THE PROBLEM
Clarify the goal, constraints and evidence before choosing a model.
02
BUILD, TEST, ITERATE
Use experiments and measurable evaluation instead of relying on assumptions.
03
OWN THE FULL PIPELINE
Think beyond the model: data, APIs, interfaces, deployment and reliability matter.
04
LEARN AND COMMUNICATE
Document decisions, explain trade-offs and use feedback to improve the result.
2023
B.TECH BEGINS
Started B.Tech in Computer Science & Engineering, specialising in Artificial Intelligence & Machine Learning, at Ramrao Adik Institute of Technology, D. Y. Patil University.
2024–25
APPLIED AI BUILDS
Developed hands-on machine-learning projects across computer vision, voice recognition, predictive modelling and full-stack AI applications.
JUL 2026
URAL FEDERAL UNIVERSITY · SUMMER UNIVERSITY
Participated in the Summer University programme focused on Information Technology & AI, including HackAtom 2026.
2026
RESEARCH DIRECTION
Developing the SLM–DistilBERT candidate-selection study around efficient language models, knowledge distillation and evaluation. Manuscript in preparation.
APR 2027
EXPECTED GRADUATION
Targeting completion of B.Tech CSE (AI & ML) and preparing for postgraduate study in Artificial Intelligence or a closely related technical field.
The study explores whether a smaller language model can reduce expensive candidate-selection or tool-use overhead while preserving downstream decision quality. Two strategies are being evaluated: direct replacement and hybrid shortlisting. The academic manuscript is in preparation.
Status: ongoing research · manuscript in preparation · no publication claimed
RESEARCH INTERESTS
Computer vision
Image processing
Deep learning & vision transformers
Multimodal AI
Efficient machine learning
NLP & small language models
Knowledge distillation
A selection of applied projects across vision, audio, efficient NLP, geospatial analytics and product engineering. Metrics are labelled as reported where appropriate.
Selected academic programmes, technical training and professional learning credentials.
01
Ural Federal University — Summer University participation
JUL 2026
02
Summer University — Information Technology & AI / HackAtom
JUL 2026
03
NPTEL — Data Science for Engineers
55% · MAR 2026
04
NPTEL — Business Marketing (Technology Focus)
Elite · 67% · OCT 2025
05
AWS Academy — Cloud Foundations
20 hours · APR 2026
06
One Million Prompters — Dubai Future Foundation
COMPLETED
07
IBM — AI for Everyone
APR 2025
08
IBM — Python Basics for Data Science
APR 2025
AI / MACHINE LEARNING
Python · TensorFlow · Keras · Scikit-learn · Deep Learning · Neural Networks · Model Evaluation
COMPUTER VISION & AUDIO
OpenCV · MediaPipe · Image Processing · Gesture Recognition · Audio Classification · Signal Processing
NLP & RESEARCH
NLP · DistilBERT · Small Language Models · Knowledge Distillation · Prompt Engineering · Multimodal AI
BACKEND & APIS
FastAPI · Flask · Uvicorn · Node.js · REST APIs · OpenAI API · Cloudflare Workers
FRONTEND & PRODUCT
React · JavaScript · Tailwind CSS · Vite · Responsive UI · Framer Motion
DATA, CLOUD & DEPLOYMENT
NumPy · Pandas · Shapely · Firebase · Docker · Git/GitHub · Vercel · Render · Railway · Netlify · Cloudflare
TOOLS I BUILD WITH
PYTHON
TENSORFLOW
OPENCV
MEDIAPIPE
FASTAPI
REACT
DOCKER
OPENAI
FIREBASE
GITHUB
PYTHON
TENSORFLOW
OPENCV
MEDIAPIPE
FASTAPI
REACT
DOCKER
OPENAI
FIREBASE
GITHUB
© 2026 MUNAF MALIK
MUMBAI, INDIA · AI / ML