Work Experience

Software Engineer

Qtech Consulting

Oct 2024 – Present

Developed a Healthcare RAG Application augmenting LLMs with healthcare data via Retrieval-Augmented Generation (RAG) and specialized tools, significantly enhancing response accuracy and relevance. Designed ML pipelines utilizing LLMs and ANN to optimize environmental factors, achieving a 1.2x increase in data center operational efficiency.

Python LangChain Docker ChromaDB PostgreSQL Keras AWS Azure ML

Machine Learning Researcher

Pennsylvania State University

Aug 2023 – Sep 2024

Invented a domain-adaptive LSTM network capable of real-time sensor drift self-calibration, boosting chemisensing classification accuracy by 20%. Deployed multimodal Electronic Health Record (EHR) models in Dockerized microservices, achieving an F1 score of 0.82 and reducing operational costs by 50%.

Machine Learning Domain Adaptive LSTM Chemisensing Python PyTorch Docker Raspberry Pi PostgreSQL REST APIs Azure Cosmos DB Azure AI

Machine Learning Engineer

Allskier Technologies

Sep 2020 – Nov 2021

Deployed a lightweight computer vision model for real-time low-oxygen detection and an NLP-based alert classifier on ESP-based nodes, achieving a 500ms inference latency, autonomously triggering aerators.

Computer Vision MQTT PostgreSQL TensorFlow Lite TensorFlow OpenCV Scikit-learn

Robotics Engineer Intern

Fractalworks

July 2020 – Sept 2020

Quantized a PyTorch regression model for on-device inference across wireless sensor networks (WSN), dynamically modulating HVAC fan PWM, resulting in a 10% energy reduction (50W savings per 0.5kW unit).

Robotics Firmware C++ Arduino Wireless Sensor Networks Regression Python PyTorch R