Experience & Education
Technical Team Lead - AI/LLM Engineering
Office of Physical Plant Penn State
State College, PA, USA
Aug 2025 - Present
Architecting and developing an intelligent facility management bot leveraging Model Context Protocol (MCP) to fetch real-time operational data from multiple enterprise systems. Implementing advanced LLM orchestration with multi-agent workflows to provide contextual facility insights, predictive maintenance recommendations, and automated work order generation. Engineering seamless integration with building automation systems, IoT sensors, and legacy infrastructure databases to deliver unified AI-powered facility operations platform serving 40,000+ campus users. Optimizing system performance with edge computing and distributed AI architecture for sub-second response times across critical facility operations.
Technical Team Lead - AI/LLM Engineering
Invent Penn State
State College, PA, USA
Jan 2025 - Jul 2025
Led development of enterprise RAG (Retrieval-Augmented Generation) system using Google Gemini 1.5 Pro LLM and Vertex AI Search, consulting with 1000+ researchers to deliver context-aware AI solutions. Engineered advanced prompt engineering framework with 6 conversational categories and behavioral conditioning, achieving intelligent response routing based on query type and user context. Developed intelligent data processing pipeline using Gemini for advanced text preprocessing, semantic search with vector embeddings, and automated content quality assessment. Architected cloud-native solution on GCP with ≤ 10 second response times using Cloud Run (serverless), BigQuery (data warehouse), Firestore (NoSQL), Cloud Storage (object storage), and Vertex AI ecosystem.
Research Assistant
RAISE Lab Pennsylvania State University
State College, PA, USA
Aug 2024 - Present
Presented TRIM AI research findings and collaborated with healthcare professionals to develop AI-driven SMS triage system for maternal health, improving diagnostic accuracy through human & AI collaboration. Engineered binary classification system using topic modeling (LDA) and label overlap thresholds to identify labeling uncertainty in ambiguous message labels, processing 107,714+ SMS messages. Streamlined data preprocessing pipeline with 50%+ processing time reduction and visualized topic coherence using Python LDA visualization tools for human-in-the-loop systems.
Team Lead and Machine Learning Intern
Nittany AI Advance
State College, PA, USA
Nov 2024 - May 2025
Communicated complex technical concepts and coordinated cross-functional team developing Prototype Wizard, an intelligent evaluation platform achieving 92% alignment with human evaluators and cutting manual review time by 80%. Conducted comparative analysis and presented findings on 6+ large language models (including GPT-4o) to stakeholders, facilitating informed decision-making across zero-shot, one-shot, few-shot reasoning, and fine-tuning. Implemented automated evaluation pipeline with Azure OpenAI's Tree-of-Thought framework, streamlining assessment workflows through Microsoft Forms, Power Automate, and Azure Container Apps integration.
Guided Study Group Leader & Math Tutor
Penn State
State College, PA, USA
Aug 2024 - Present
Led peer study sessions and provided one-on-one tutoring to support student success in mathematics, with a focus on MATH 141 (Calculus with Analytic Geometry II). Designed and facilitated collaborative group activities to deepen understanding of complex calculus topics, while offering individualized tutoring sessions that catered to diverse learning styles across algebra, calculus, and geometry. Enhanced students' problem-solving abilities and exam readiness, fostering academic confidence and performance in a challenging course environment.
Research Assistant MCREU 2024
Penn State
State College, PA, USA
Jan 2024 - Aug 2024
Streamlined the preprocessing pipeline for T1-weighted MRI data of 887 patients, leveraging advanced segmentation techniques and atlas-based alignment. Designed and trained 3D CNNs, SVM, and Random Forest models to classify MRI scans into four groups: Parkinson's Disease (PD), Control, SWEDD, and Prodromal, achieving 65.9% multiclass accuracy and 76.4% binary accuracy. The results provide actionable insights for early Parkinson's disease diagnosis.
Part-Time Student Manager/ Crew Leader
Housing and Food Services Pennsylvania State University
Harrisburg, PA, USA
Sep 2022 - Aug 2024
Supervised 200+ student workers, ensuring smooth daily operations and timely service for 5,000+ students. Trained and mentored 80+ new team members boosted onboarding efficiency by 20%, and fostered team collaboration.
Part-Time IT User Support Specialist
IT Services Pennsylvania State University
Harrisburg, PA, USA
Mar 2023 - Jul 2024
Served as the first point of contact for IT support, assisted 500+ users with technical issues and inquiries. Enhanced service efficiency through effective communication and streamlined troubleshooting processes.
Research Assistant MCREU 2023
Penn State
State College, PA, USA
May 2023 - Aug 2023
Engineered an adaptive learning algorithm to adjust rates based on rejects, improving WisdomNet's reliability by 90% for safety-critical use. Tested the algorithm on breast cancer datasets, synthetic data, and MNIST, achieving a 10% accuracy improvement.
Intern
InnovatiOS Technology
India
Jun 2022 - Aug 2022
Engineered Ai.Cam VMS image processing modules using YOLOv5 for detecting fire, smoke, and face masks. Designed an intuitive UI for real-time detection selection, enabling practical deployment in safety-critical environments.
Intern
Navigator Technologies
India
Apr 2021 - Jun 2021
Built a voice-activated Android application for display panel printing, integrating Bluetooth communication and Arduino-based hardware controls. Improved operational efficiency by automating manual processes and reducing errors.
Intern
Finland Labs
Remote
Oct 2020 - Oct 2020
Applied CNNs and deep learning models for accurate classification of Cats vs. Dogs, achieving 92% accuracy. Designed and deployed AWS-based solutions for home automation, and conducted sentiment analysis of Flipkart reviews, delivering actionable insights to improve customer satisfaction.