Student / AI Engineer
I’m a guy who thinks AI can fix everything, robotics is cool, and sarcasm is a love language. I try my best to create things with 💜
Ping me to collab and create something cool or when your app crashes like my weekend plans!
23
Age
1
Years of experience
20
Projects worked on
5
Projects Deployed

Jan 2025 – Dec 2025
Aug 2019 – June 2023

Just Kidding! I'm not against Nature.
I like to craft things that’s as pretty as it is smart—like a panda with robotic arms, but with better algorithms and fewer naps.
Deep Learning
Data Visualization
Computer Vision
Generative AI

My primary
tech stack

Always open to explore new opportunites!

Recent Ideas!
Drove 20% revenue growth via digital campaigns & exhibitions; improved email CTR by 30%; reduced vendor costs by 15%; optimized SEO strategy for +11.3% organic traffic.
Designed & optimized Python ETL workflows processing 2M+ records; built BI dashboards (+25% decision speed); integrated PyTorch models; automated KPI tracking (–35% manual overhead).
Deployed CI/CD with GitHub & Docker; built AstroJS frontend; integrated Figma designs; authored smart-contract modules for blockchain campaign verification.
Achieved 92% accuracy on BERT-based NER in PyTorch; published findings; presented at institute symposium—to faculty commendation.
Trained 50+ students in ML, Python, and data preprocessing with 1:1 mentoring and performance tracking
Co-founded and scaled a technical content firm, managing 30+ writers and delivering AI/ML, Data Science, IoT and cloud-computing materials to 7–8 key clients.
Developed with research review on more than 6 available papers regarding the core architecture and proposed a totally new multi model architecture.
Developed Gated CNN on 6M images + fine‑tuned ViT‑32 on 50K 4K images; 86% accuracy, +18% over baseline; reviewed 6+ papers.
Built NLP pipeline summarizing chat/email logs for ticket classification; fine‑tuned BART/T5; reduced manual review time by 50%.
Used RF, XGBoost, AdaBoost, ARIMA/SARIMAX, LSTM & Transformer models on real‑time data; delivered best predictor in Agile sprints.
ETL with SSIS/SSMS/Alteryx; BI in PowerBI/Tableau; Snowflake schema + Spark ML; full‑stack big‑data pipeline and reporting.
Fine‑tuned BERT/PyTorch on jokes dataset (89% acc); prototyped real‑time integration; added drift tests and unit coverage.
So, what’s the deal? Looking to team up or just want to vibe, let's set up a virtual connection and we'll see what's brewing!