AI Scientist focused on computer vision, model reliability, and applied ML.

Research Assistant

Office of Strategic Initiatives, University at Albany · Albany, NY · Aug 2024-Present

• Led development of a full-stack LLM-powered assistant for retrieval, Q&A, and knowledge-based automation.
• Built high-performance RAG pipelines with hybrid retrieval, metadata indexing, and cross-encoder reranking.
• Developed agentic reasoning systems with task decomposition, memory modules, and workflow orchestration.
• Built automated evaluation for hallucination detection, relevance scoring, and safety checks.

Adjunct Lecturer

Dean's Office, Rockefeller College - Albany, NY - May 2024 to Jul 2024

• Taught labs for Introduction to Computer Science and mentored students on fundamentals.
• Evaluated projects and exams with structured feedback to improve outcomes.

Teaching Assistant

University at Albany, SUNY - Albany, NY - Aug 2022 to May 2024

• Supported courses in Data Mining, Machine Learning, AI, Computer Vision, Networks, Operating Systems, DBMS, and Intro CS.
• Delivered lectures, guided labs, and managed assessments.

Computer Vision and Deep Learning Research Intern

Siemens Healthineers · Princeton, NJ · May 2022–Aug 2022

• Performed high-accuracy object detection and tracking for product-specific environments.
• Set up product-specific CV pipeline and framework components.
• Analyzed and processed legacy datasets to support model upgrades and compatibility.

Computer Vision and Machine Learning Research Intern

Siemens Healthineers · Princeton, NJ (Virtual) · May 2021–Aug 2021

• Performed object detection and tracking for product-specific use cases.
• Built initial pipeline setup and generated quantitative insights from historical datasets.

Research Assistant / Sr. Research Project Assistant

The Research Foundation of SUNY · Albany, NY · Jul 2019–May 2021

• Developed CV analytics for rail-yard management and crossing safety applications.
• Built edge-control-center deployments with NVIDIA AGX Xavier and multi-camera systems.
• Implemented object detection, tracking, and re-identification under real-world constraints.

Sr. Research Project Assistant (Full-time)

The Research Foundation of SUNY - Albany, NY - Jul 2019 to Dec 2019

• Developed rail yard management and crossing protection systems using CV analytics, detection, tracking, and re-identification.
• Managed edge deployments with NVIDIA AGX Xavier and multi-camera inputs.
• Processed and analyzed datasets to improve product-relevant models.

Seizure Detection in Animals

AMC · GE HealthCare · UAlbany · Mar 2023–Present

Pose estimation, seizure state prediction, and behavior analysis for induced and natural conditions.

DARPA Semantic Forensics (SemaFor)

Kitware & UAlbany · Jan 2020–Dec 2023

Semantic forensics to detect falsified media/news using CV pipelines: object, text, and human-pose signals.

Railcar Locomotive Yard Detection

GE Research & UAlbany · Jul 2019–Dec 2021

Rail yard management via CV analytics, object detection, tracking, and re-ID with edge + control center architecture.

Rail Crossing Point Protection

GE Research & UAlbany - Jan 2020 to Jan 2021

Enhanced rail crossing safety using instance segmentation, multi-object tracking, and rule-based logic.

AI City Challenge

UAlbany - Jan 2021 to Aug 2021

Analyzed submissions for detection, tracking, re-identification, and road anomaly tasks.

UA-DETRAC Dataset v1.5

Research Foundation of SUNY - Jul 2019 to Dec 2019

Added vehicle colors and subclasses and verified ground truth for large-scale traffic analytics.

Peer-reviewed-- Selected Works

• TextSleuth: A New Dataset and Baseline for Scene Text Manipulation Detection, IEEE MIPR, 2024.
• FlagDetSeg: Multi-Nation Flag Detection and Segmentation in the Wild, IEEE AVSS, 2021.
• A Video Analytic System for Rail Crossing Point Protection, IEEE AVSS, 2021.
• Railcar Detection, Identification and Tracking for Rail Yard Management, IEEE ICIP, 2020.

In progress / preparation

Coming soon.

• Vehicle type and color detection (UA-DETRAC): YOLOv3 for 12 vehicle types and KNN for 9 color classes (78% and 65% accuracy respectively).
• Movie success prediction: Data-mining and ML pipeline over Twitter and IMDb data with ~80% accuracy.
• Stock price prediction: Intraday strategy using NLP, pattern recognition, and storyline features from social/news/market data.
• Library Management System: Java application for institutional workflows.

• Social Geo Tagging Web App: PHP application integrating social APIs and map-based alumni discovery.
• Online Yearbook: Full-stack web app for profiles, comments, and social links.
• Smart Attendance System: IoT project using Arduino/RFID with cloud logging through Google Sheets API.
• Hand Gesture Control: Webcam-based gesture tracking system for interface control and automation.

Membership

IEEE, ACM

Reviewer (selected)

ICIP 2020/2021, IMPROVE 2021, ICME, MICCAI, AICity, TVCJ, Signal Processing: Image Communication, MDPI, and TMM.

Professional training

• New York State Cyber Security Conference (2018)
• AWS Innovate: ML and AI Edition (2019)

Technical

Python, C, C++, Java, CUDA, MATLAB

PyTorch, TensorFlow, scikit-learn, matplotlib

Systems & tools

Linux, Linux-server, Windows, macOS, VirtualBox, VMWare, vSphere, Visual Studio

Edge: NVIDIA AGX Xavier, Nano, Raspberry Pi, Google Coral

Collaboration

Public speaking, teamwork, leadership, time management, communication, problem-solving

Infrastructure

UAlbany CVML Servers Management (Jun 2019-Present): Managed GPU and data servers across software, hardware, networking, security, and user permissions.

Lab Platforms (Jun 2020-Present): Administered GitLab, Nextcloud, and DE-TRAC infrastructure for research operations.

Mentoring

Advised master's and high-school students on projects and research.

• Srujan Vepuri
• Ragini Rani
• Nidhi Vadnere
• Patrick Dai (UCLA)

Languages

English - Native/Bilingual

Hindi - Native/Bilingual

Hobbies

Piano, photography, and exploring new developments in technology.