T

Tushar Gwal

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Columbia, Maryland, United States

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Résumé

Jobs verified_user 0% verified
  • Product Manager Accelerator
    AI Engineer Intern
    Product Manager Accelerator
    Sep 2025 - Current (11 months)
    Founding AI engineer building an AI Coach application powered by Generative AI (LLMs, LangChain, Pinecone, FastAPI) to guide users through career planning, skill recommendations, and personalized coaching. Built an entire backend recommendation engine by integrating multiple labor market APIs and optimizing the RAG pipeline with hybrid search and reranking, while fine-tuning matching logic using user questionnaire & chat history to achieve a 50% latency reduction for real-time career suggestions. Led full-stack development, integrating LLM APIs (OpenAI GPT-40) into the FastAPI backend and connecting PostgreSQL & Pinecone vector DB with a React/Vercel frontend to deliver seamless, scalable user experiences.
  • Handshake AI
    AI Researcher - Model Validation Expert (MOVE) Fellow
    Handshake AI
    Aug 2025 - Current (1 year)
    Created 20+ complex prompts using Tree-of-Thought (ToT) and multimodal (MIIT) techniques to stress-test LLMs, successfully exposing 3 major failures in logical reasoning and visual interpretation. Promoted to an ML-focused project to analyze agentic AI plans and code, validating outputs against strict security guardrails and ensuring generated code matched intended design and scientific reasoning steps.
  • Illinois Institute of Technology
    Research Assistant - Deep Learning & XR Analytics
    Illinois Institute of Technology
    Aug 2024 - May 2025 (10 months)
    Worked across 2 research labs, Social Spatial Interaction (SSIL) Lab and Magnetic Resonance Technology Discovery (MRTD) Lab, on applied AI projects involving extended reality (XR) motion analytics & MRI-based neural implant stability analysis. At SSIL Lab - Standardized 137 GB of XR motion datasets into BIDS format, reducing data preprocessing time for future researchers by 90% and enhancing accessibility for research in spatial computing to study human behavior and interactions in Extended Reality (XR). At MRTD Lab - Engineered a 3D Computer Vision workflow to assess neural implant stability across longitudinal MRI datasets, performing segmentation of 35 implants via ITK-SNAP and utilizing PCA and quaternion-based spatial analysis to detec
  • Tata Consultancy Services
    System Engineer
    Tata Consultancy Services
    Jan 2020 - Sep 2023 (3 years 9 months)
    Upgraded legacy Java applications for a leading Healthcare organization CVS Health to Java 17 & Spring Boot 3 and migrated apps to Azure Cloud with GitHub & Azure DevOps CI/CD, improving performance, release reliability, and future-proofing the tech stack. Designed ETL pipelines (SSIS) and automated report generation (SSRS) for Humana to deliver clean, client-ready datasets for monthly stakeholder reporting, reducing manual reporting effort by 70%. Collaborated directly with clients & cross-functional teams in an Agile environment to deliver high-quality releases, resolve critical defects, write unit/integration tests, participate in code reviews, and mentor new hires.
Education verified_user 0% verified
  • Illinois Institute of Technology
    Master of Science in Computer Science
    Illinois Institute of Technology
    Aug 2023 - May 2025 (1 year 10 months)
  • A
    Bachelor of Technology in Computer Science and Engineering
    AKTU, Lucknow, India
    Aug 2014 - May 2018 (3 years 10 months)
Projects (professional or personal) verified_user 0% verified
  • M
    Machine Learning A-Z Hands On Projects in Python for Data Science
    Feb 2025 - Apr 2025 (3 months)
    Hands on implementation of core and advanced machine learning concepts including regression, classification, clustering, association rules, reinforcement learning (UCB, Thompson Sampling, Q-learning), NLP pipelines, ANN/CNN architectures, PCA/LDA for dimensionality reduction, and advanced boosting techniques (XGBoost, CatBoost). Includes complete Python code, handwritten notes, and real-world dataset experiments following the full machine learning lifecycle.
  • C
    Computer Vision
    Aug 2024 - Nov 2024 (4 months)
    Practical implementation of core Computer Vision concepts including matrix operations, geometric transformations, filtering, edge detection, robust estimation, and deep learning models (CNNs, VGG/ResNet, U-Net, YOLOv3, ViT). Fine-tuned and trained models on real datasets like CIFAR-10 and Oxford-IIIT Pet using Python, OpenCV, and TensorFlow.
Awards verified_user 0% verified
  • S
    2nd Place StarPlan Multi-Agent Systems Hackathon (SF)
    StarPlan
    Dec 2025 - Jan 2026 (2 months)
Publications verified_user 0% verified
  • I
    Signature Verification (CNN + IR)
    International Journal of Scientific Research in Computer Science and Engineering
    Jan 2018