Python
PyTorch
TensorFlow
OpenCV
Pandas
SQL
AWS
JupyterI'm a Data Science M.Tech student at SRM IST (2027) with a strong foundation in machine learning, deep learning, and big data technologies. My academic journey from CSE at Kakatiya Institute gave me robust programming fundamentals — now supercharged with AI.
I specialise in computer vision pipelines deployed on real hardware — NVIDIA Jetson boards, CUDA GPUs — not just notebooks. My work spans coastline surveillance with drone footage to multi-modal healthcare AI predicting adverse drug reactions.
I'm fluent in Python, PyTorch, TensorFlow and obsessive about squeezing performance from every line of code — just like an F1 engineer maximises every millisecond of lap time.
Real-time detection of tiny objects in drone-captured coastline footage. Implemented YOLOv8, Faster R-CNN, and SSD on SeaDronesSee and Ship Aerial Images datasets. Optimised for NVIDIA Jetson edge deployment with CUDA-accelerated inference — bringing lab-grade vision to real-world maritime surveillance.
End-to-end machine learning pipeline for retail sales prediction. Implemented time-series analysis with feature engineering, data preprocessing, and rigorous model evaluation. Transforms historical transaction data into forward-looking revenue forecasts that directly inform business strategy.
Multi-modal AI system integrating clinical, chemical, genomic, and textual data to predict Adverse Drug Reactions. Built and evaluated Random Forest, RNN, GNN, and BERT-based models on EHR, DrugBank, FAERS, and PubMed data — improving early ADR detection and supporting data-driven healthcare decisions.
PythonPyTorchTensorFlowOpenCVPandasSQLAWSJupyter