Experience

Experience

My professional journey in research, engineering, and academia.

New York University

Course Assistant

Sep 2025 - Present · 1 mo

Computer Vision Class for Fall'25 CS-GY 6643

  • Delivering lectures for graduate-level computer vision course
  • Organizing hands-on code labs and practical sessions
  • Creating Kaggle competitions and project assignments
  • Mentoring students on computer vision algorithms and applications
Computer Vision Teaching Deep Learning PyTorch

Researcher

Jun 2025 - Present · 4 mos

Computational Neuroscience Research @ Neuroinformatics Lab (Prof. Erdem Varol)

  • Working on generating multimodal Neural Foundational Model based on EEG and fMRI data
  • Developing models to generate rich embeddings and shared representation of neural data
  • Enabling translation between modalities of neural data
  • Leveraging both resting state and task specific paradigms
OpenNeuro Foundational Models EEG fMRI Neural Translation

Nanyang Technological University Singapore

Research Intern

Jun 2023 - Dec 2023

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

DLT Labs (KNNX Corp)

Software Engineer Intern

May 2022 - Jul 2022

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

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

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 C++ Java SQL R

ML/AI Frameworks

PyTorch TensorFlow scikit-learn OpenCV Hugging Face

Cloud & DevOps

AWS Docker Kubernetes CI/CD Git

Research Areas

Deep Learning Computer Vision Reinforcement Learning NLP Neuroscience