Work
Turing
|Delivery Data Scientist
Highlights
Completed over 1,000 RLHF, SFT, SXS evaluations, and mathematical reasoning tasks to improve model accuracy, robustness, and efficiency across Google Gemini initiatives, in Project Magi and Google DeepMind.
Created over 1,000 multi-layered visualizations with rich metadata, enabling measurable insights across large-scale datasets and accelerating data-driven decision workflows.
Contributed to Meta Agentless, a code-repair system for SWE-Bench tasks, leveraging LLaMA 4 to implement multi-stage workflows for issue localization, automated repair (SEARCH/REPLACE), and test-based patch validation.
Tech Stack: Python, C++, C, Java, SQL, Docker, Django, Matplotlib, NumPy, Pandas, Google Colab, Plotly, Linux
FEYNN LABS
|Machine Learning Intern
Highlights
Applied data analysis techniques using Numpy, Pandas, and Matplotlib to process and visualize 500,000+ data points, enhancing model interpretability by 40%.
Implemented Unsupervised Learning (PCA, K-means) to segment 100,000+ data records in the fast food and EV markets, extracting key consumer behavior trends with 92% precision.
Tech Stack: Python, Matplotlib, NumPy, Pandas, Google Colab, Plotly
Education
Indian Institute of Technology, Kharagpur
B. Tech
Civil Engineering
British English School
Senior Secondary Education
Awards
Machine Learning Specialization
Awarded By
Coursera by Andrew Ng
acquiring knowledge across 3 courses.
Amazon Machine Learning
Awarded By
Amazon
completed Amazon's 4-week Machine Learning School.
Skills
Languages
C, C++, JavaScript, Python, Java.
Software and Libraries
C++ STL, Numpy, Pandas, Matplotlib, Git, GitHub, MySQL, Docker, PyTorch, Tensorflow.
General
Data Structures and Algorithms, Object Oriented Programming, Database Management System, Prompt Engineering.