Graduate Research Assistant

NASA IMPACT August 2024 - Present
Current Role

Contributing to NASA's Accelerated Knowledge Discovery project, developing a deep research LLM agent enhanced with human-in-the-loop guidance for scientific exploration.

Key Achievements:

  • Fine-tuned and integrated FastText and RoBERTa classifiers on large scientific text corpora to implement a multi-model automated tagging pipeline and relevancy-checking classifier for scraped documents, reducing manual curation time by 95%
  • Integrated models into NASA's Science Discovery Engine to enable ML-assisted content curation workflows
  • Developed a scalable inference pipeline in Python and FastAPI to serve multiple models through a single API in a resource-constrained environment
  • Implemented a Redis-backed queue for batch processing, with loosely coupled distributed workers that dynamically load and unload models to optimize resources and scale horizontally
  • Added Pytest unit and integration tests to improve reliability and maintainability
Python FastAPI NLP LLMs RoBERTa Redis Pytest

Python Developer (ML)

Mutual Art September 2023 - June 2024

Developed ML-powered features and optimized backend systems for art market intelligence platform serving thousands of users.

Key Achievements:

  • Built a FAISS-based vector database for reverse image search to enable similarity retrieval using an ensemble of pHash and CNN embeddings
  • Developed and deployed the backend and data pipeline for the "Repeated Sales of Artworks" feature which resulted in a 200% increase in customer convergence rates
  • Optimized the core near-duplicate image detection algorithm by implementing parallelization, caching, efficient SQL queries, and strategic performance tuning, reducing runtime by 75%
  • Collaborated with cross-functional teams to troubleshoot, diagnose, and resolve code issues and bugs
Python FAISS Computer Vision SQL CNN

Associate Software Engineer

Sireto Technology September 2022 - September 2023

Developed KuberIDE, a web-based IDE for Cardano developers within a microservices architecture. Led backend development focusing on authentication, access management, and deployment optimization.

Key Achievements:

  • Developed KuberIDE web-based IDE (ReactJS, FastAPI) within a microservices architecture
  • Designed and implemented backend authentication, access management, and session handling using OAuth cookies for browser-based access and API keys for direct access
  • Built an HTTPS gateway to enable access to in-house microservices and WebSocket proxy to provide IntelliSense in the online IDE for Haskell using the Haskell Language Server
  • Optimized deployment by implementing Pytest-based testing, Dockerfiles, and CI/CD pipelines, improving system reliability, scalability, and continuous integration workflows
Python FastAPI ReactJS Docker CI/CD OAuth WebSocket

Solutions Engineer Intern

Logpoint January 2022 - August 2022
Internship

Focused on Linux system administration, performance optimization, and automation. Gained extensive experience in system monitoring, troubleshooting, and scripting for enterprise-level infrastructure.

Key Achievements:

  • Monitored Linux systems, optimizing performance and reliability
  • Automated routine tasks and boosted operational efficiency with shell scripting
  • Resolved critical system incidents using advanced Linux troubleshooting techniques
Linux Shell Scripting System Administration Performance Optimization

Software Engineer Intern

Leapfrog Technology April 2021 - May 2021
Internship

Short-term intensive internship focusing on JavaScript development and algorithmic problem-solving. Enhanced both frontend and backend skills while working on practical projects.

Key Achievements:

  • Enhanced frontend and backend JavaScript skills with focus on efficient problem-solving
  • Developed a Pacman game showcasing algorithm design and software development skills
  • Practiced optimized coding techniques and software engineering best practices
JavaScript Frontend Development Backend Development Game Development

AI Research Intern

NAAMII May 2020 - August 2020
Research

Research internship focused on Computer Vision and AI model development. Worked with state-of-the-art CV models and contributed to various projects involving object detection, facial recognition, and image segmentation.

Key Achievements:

  • Engaged in extensive research and implementation of state-of-the-art Computer Vision models
  • Utilized OpenCV, PyTorch, and scikit-learn for model building and fine-tuning
  • Collaborated with lead researchers on CV applications and innovative improvements
  • Contributed to projects involving object detection, facial recognition, and image segmentation
Python PyTorch OpenCV Computer Vision scikit-learn