OmniML (Acquired by Nvidia) | UIUC CS | Ex - Bloomberg AI, AWS, Microsoft Research
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nvidia
Data Scientist
June 20, 2026 – Present
Model-Optimizer
April 23, 2024 – Present
A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.
View ProjectObject-and-Semantic-Part-Detection-pyTorch
April 14, 2020 – July 25, 2024
Joint detection of Object and its Semantic parts using Attention-based Feature Fusion on PASCAL Parts 2010 dataset
View ProjectCoVA-Web-Object-Detection
October 22, 2019 – February 25, 2025
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
View ProjectNeMo
August 5, 2019 – Present
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
View ProjectSEDTWik-Event-Detection-from-Tweets
October 29, 2018 – August 20, 2024
Segmentation based event detection from Tweets. Published at NAACL SRW 2019
View ProjectChat-Messela-Blockchain-Messenger
March 31, 2018 – November 11, 2018
Chat Message La - A Blockchain implementation for ultra-secure (just kidding!) messaging in Java
View ProjectpyTweetCleaner
March 20, 2018 – April 21, 2019
Python module to clean twitter JSON data or tweet text and remove unnecessary data such as hyperlinks, comments on someone else's tweet, non-ASCII chars, non-English tweets, and much more
View ProjectNaive-Bayes-Text-Classifier-in-Java
November 5, 2017 – May 18, 2019
Naive Bayes Classification used to classify movie reviews as positive or negative
View ProjectGraph-Theory-Implementations-in-Java
August 8, 2017 – August 31, 2020
This project contains the implementation of basic graph theory algorithms like BFS, DFS, Kruskal's MST, Prim's MST, Dijkstras Shortest Path
View ProjectLocation-Tracking-using-Google-Maps-Javascript-API
July 24, 2017 – February 19, 2018
This was a part of my project during my internship at WATConsult, Mumbai
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong focus on cutting-edge AI/ML research and development, which aligns well with an innovative and research-driven culture. The diversity of projects, from fundamental algorithms to advanced model optimization and generative AI, suggests adaptability and a continuous learning mindset. However, the candidate's experience level is listed as 0, which contradicts the current role at NVIDIA. This discrepancy needs clarification to accurately assess cultural fit for a senior role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are clear and concise, indicating good written communication. However, no direct assessment of collaboration, problem-solving under pressure, or other soft skills is available.