Experience
My professional journey in research, engineering, and academia.
New York University
Graduate Assistant
Aug 2025 - PresentComputer Vision (Fall 2025) & Neuroinformatics (Spring 2026)
- Facilitating graduate-level live coding sessions and office hours for 100+ students
- Authoring and grading assignments and exams across computer vision and neuroscience
- Curating Kaggle-style competitions, including datasets, baselines, and evaluation metrics
- Mentoring students and providing structured technical feedback on course projects
Computer Vision Teaching Deep Learning PyTorch
Research Assistant
Jun 2025 - PresentNeural localization research @ Neuroinformatics Lab (Prof. Erdem Varol)
- Built a framework for real-time in-vivo brain-region localization from raw multichannel LFP across 5 TB of mouse neural recordings
- Formulated localization across the full brain atlas as a 307-class prediction task, reducing dependence on post-hoc histology
- Introduced geometry-aware pretraining objectives and achieved 1.65 mm coordinate-regression error across the 1 cm mouse brain
- Demonstrated zero-shot generalization across probe types, laboratories, and species
LFP Self-Supervised Learning Representation Learning Computational Neuroscience PyTorch
Text Augmentation for Named Entity Recognition and Language Modelling
- Improved Named Entity Recognition (NER) performance on WNUT17 dataset of tweets
- Utilized entity placeholder replacements and PEGASUS-based paraphrasing to clean noisy text
- Boosted performance up to F1 score 0.558, with a 43% increase from the baseline
- Leveraged LLaMA 2 for advanced paraphrase generation through zero-shot and few-shot prompt engineering
- Achieved a peak F1 score of 0.581 and an 85% increase from the baseline with 6% entity loss
Natural Language Processing (NLP) Diffusion Large Language Models (LLM) Research Skills LangChain PyTorch
Ethereum Gas Price Prediction
- Devised prediction model to forecast Ethereum gas prices using time series data forecasting techniques
- Successfully extracted and processed gas price data directly from Ethereum Blockchain APIs
- Delivered accurate daily and minute-by-minute gas price forecasts through rigorous hyperparameter tuning
- Minimized MAE by 27%, contributing to enhanced decision-making for participants
- Appointed as student coordinator, facilitated intern coordination efforts and onboarding process
Machine Learning Python SQL Web3 Blockchain Analytics
Leadership & Club Experience
Shades Club, BITS Hyderabad
Secretary
Jun 2022 - Jul 2023 · 1 yr 2 mos- Worked as the head of the Shades club and helped it achieve greater heights
- Worked on multiple large-scale paintings for events and three fests on campus
- Managed the club senate and organized workshop for children from orphanages as part of IGNITE'23
- Managed inauguration performances and exhibitions
Management Leadership
Treasurer
Jun 2021 - May 2022 · 1 yr- Worked as Treasurer for Shades, the fine arts club on campus
- Dealt with the finances, logistics and event management
- Participated in making a 9ft x 22ft painting for the cultural fest
- Helped organize the art exhibition on campus
Management Financial Planning
Automation And Robotics Club
Member
Jan 2021 - Dec 2023- Worked in the tech team and participated in technical events
- Made three projects being a part of the club
- Presented projects during the technical fest and tech expo
Robotics Arduino
Department of Professional Events, BPHC
Core Member
Mar 2022 - Feb 2023- Worked in artist and celebrity management for pro shows during fests on campus
Management Event Planning
Technical Skills
Programming Languages
Python JavaScript / TypeScript C++ Java SQL C# MATLAB
ML/AI Frameworks
PyTorch TensorFlow scikit-learn OpenCV Hugging Face
Cloud & DevOps
AWS Docker Kubernetes CI/CD Git Kafka Spark Redis PostgreSQL
Research Areas
Deep Learning Computer Vision Reinforcement Learning NLP Neuroscience