About
Work
Meril Life Sciences
|AI Engineer Intern
Highlights
Currently developing an Agentic Framework which is especially designed for Chest Xray interpretation.
Forked Ultralytics, implemented custom modifications, and cut inference downtime by 60%, and published repository.
Developed and deployed AI-driven detection and heatmap generation modules, optimizing inference in production.
Trained and deployed custom object detection models with Distributed Data Parallel (DDP) using torchrun, optimizing efficiency and reducing time and resource costs.
Built and Deployed a high-resolution bone suppression model in, enhancing chest radiograph interpretation by reducing bone obstructions and improving soft tissue visibility.
Samsung Research Institute, Bangalore
|Research and Development Intern
Highlights
Collected and annotated 5,000+ action-specific pet frames, enabling supervised model training.
Worked under Samsung's camera solutions team to translate business requirements into data-driven solutions.
Trained a lightweight Pet Action Recognition Engine using custom Efficient Net architecture, with handwritten loss function achieving 92% training accuracy.
Education
IIIT- Naya Raipur
Data Science and AI
Grade: 8.30
St. Xavier's High School
High School
Grade: 92
Awards
Attended Amazon ML Summer School 2023.
Winners of Hackathon Codeutsava 6.0 under problem statement "Driver Monitoring" organized by NIT Raipur.
Secured position in top 15 in hackathon HackOdisha 2.0 conducted by NIT Rourkela amongst 1000+ participants.
INMUN (Model United Nations) conference participant in Delhi (2018).
Winners in Bit-to-Byte contest organized by The Society of Coders.
Publications
Skills
Technical Skills
C/C++, Python, SQL, Machine Learning, Computer Vision, Natural Language Processing.
Frameworks/Libraries
FastAPI, Gradio, Flask, Pytorch, Transformers, Pandas, NumPy, MatPlotlib, SKLearn, HuggingFace.
Tools
GitHub, VS Code, AWS Sagemaker, AWS Lambda Function, Docker.