Experiences

🚀 Stealth AI Startup 

Founding Engineer (Feb 2025 – Present)

• Building agentic AI tools using modular LangChain architectures, working with Model Context Protocol (MCP) for secure AI workflows.
  
  

• Designed CLI and registry infrastructure for reusable agents; supports push/pull of packaged models and Dockerized deployments.
  
  

• Leading backend systems, agent lifecycle orchestration, and inference control logic.

💼 Great Lakes Civil Services 

Senior Software Engineer/AI Engineer (Nov 2024–Present)

• Modernized a 25-year-old COBOL system into a scalable full-stack ERP platform using .NET, PostgreSQL, and React.
  
  

• Designed and deployed secure REST APIs and built CI/CD pipelines with Docker, Kubernetes, and GitHub Actions, achieving 99.9% uptime.
  
  

• Developed an Agentic AI Skip Tracing System using LangChain, OpenAI GPT-4, and RAG, increasing trace accuracy by 60%.
  
  

• Built predictive ML models (XGBoost, scikit-learn) for civil case cost forecasting, achieving 95% accuracy and a 93% F1-score.
  
  

• Deployed PyTorch models via FastAPI and TorchServe, integrating with MLOps pipelines using MLflow on AWS

🧠 University of Michigan-Dearborn 

Research Software Engineer (Jan 2024 – Apr 2025)

• Led the design and development of VRTestSniffer and CPatMiner, advanced Java-based tools for detecting test smells in Unity-based VR applications.
  
  

• Submitted thesis work to ASE 2025 and shared the tool with the U.S. Army to aid their simulation testing frameworks.
  
  

• Integrated CI/CD pipelines using Jenkins and GitHub Actions to automate validation cycles and accelerate feedback loops.
  
  

• Built destructive test simulation infrastructure to support immersive debugging and real-time defect analysis in VR environments.
  
  

• Co-authored an LLM-powered bug localization module, improving test coverage and runtime error traceability by 60%.

Link to my research page: Research page

🧑‍🏫 University of Michigan-Dearborn 

Graduate Teaching Assistant (Jan 2025 – Apr 2025)

• Delivered core instruction in Discrete Mathematics, covering computation theory, graph theory, and coding logic.
  
  

• Guided students on algorithm implementation and problem-solving in Data Structures, including hashing and dynamic programming.
  
  

• Facilitated review sessions, prepared materials, and provided 1:1 support to enhance conceptual clarity and exam readiness.
  
  

🧠 University of Michigan-Dearborn

Graduate Research Assistant – Edge Computing & Smart Systems (Mar 2024 – Nov 2024)

• Spearheaded a research initiative on customizing edge routers to improve real-time recommendation systems using low-latency edge processing.
  
  

• Designed and deployed optimized data pipelines for content-aware edge caching and filtering, reducing latency and boosting delivery relevance.
  
  

• Integrated Python, edge ML inference, and lightweight telemetry capture to enable smart decision-making directly at the device layer.
  
  

• Collaborated with research faculty to improve data efficiency and personalization accuracy, contributing to the future of decentralized intelligence in connected environments.

🏢 Stryker Corporation—Software Engineer (Aug 2022–Jun 2023)

During my tenure at Stryker Corporation, I had the opportunity to contribute to real-world healthcare automation projects that combined the power of AI and software engineering in a regulated, high-stakes environment. I worked across QA automation, backend development, and CI/CD systems—integrating seamlessly into cross-functional teams.

I leveraged Python to develop automation tools and test cases and implemented Behavior-Driven Development (BDD) using Gherkin syntax and the Behave framework. My work involved creating robust, reusable test flows, significantly reducing manual testing efforts and improving overall QA efficiency by 40%.

In our DevOps pipeline, I worked hands-on with PostgreSQL, Docker, Jenkins, and IntelliJ IDE, helping the team maintain and scale infrastructure for Stryker’s Engage 7.0 platform. I also supported REST API testing using Postman, contributed to debugging efforts, and ensured feature compliance in collaboration with the North American Platform team. 

This experience was pivotal in sharpening my technical acumen while reinforcing my appreciation for precision, compliance, and real-world impact in the healthcare and medtech industry.

🏢 Rannlab Technologies, India—Software Engineer Intern (Nov 2021–Jan 2022)

As a Python intern at Rannlab Technologies, I was entrusted with a high-impact project focused on building a face recognition–based attendance system—a hands-on introduction to the transformative power of computer vision and AI in real-world applications.

I designed and developed a robust solution using Python, OpenCV, and Flask, creating a responsive and scalable attendance system capable of real-time facial recognition with over 95% accuracy. I integrated the backend with a RESTful API and deployed the model in a lightweight environment, ensuring a smooth end-user experience and secure authentication. 

This project gave me early exposure to full-stack solution building, combining computer vision, API development, and user-centric design. The collaborative and fast-paced environment at Rannlab encouraged innovation and practical learning, further fueling my passion for intelligent software systems that address real-world needs.

🏢 Rannlab Technologies, India—Software Engineer Intern (Nov 2021–Jan 2022)

As a Python intern at Rannlab Technologies, I was entrusted with a high-impact project focused on building a face recognition–based attendance system—a hands-on introduction to the transformative power of computer vision and AI in real-world applications.

I designed and developed a robust solution using Python, OpenCV, and Flask, creating a responsive and scalable attendance system capable of real-time facial recognition with over 95% accuracy. I integrated the backend with a RESTful API and deployed the model in a lightweight environment, ensuring a smooth end-user experience and secure authentication. 

This project gave me early exposure to full-stack solution building, combining computer vision, API development, and user-centric design. The collaborative and fast-paced environment at Rannlab encouraged innovation and practical learning, further fueling my passion for intelligent software systems that address real-world needs.

🛰️ National Atmospheric Research Laboratory (ISRO), India—Software Engineering Intern (Sep 2021–Oct 2021)

During my internship at the National Atmospheric Research Laboratory (NARL) under ISRO, I had the privilege to contribute to a mission-critical initiative aimed at automating server and IT infrastructure monitoring across the research facility. This project played a key role in improving operational reliability and uptime for scientific systems and services.

I developed both web and desktop applications using Python, integrating them with SQL Server to monitor infrastructure health in real time. I also implemented website hosting and deployment mechanisms, enabling centralized dashboards to track system status and detect non-functional machines with over 97% accuracy. 

Working in a cutting-edge research environment like ISRO not only sharpened my skills in infrastructure automation, application deployment, and data-driven monitoring but also deepened my appreciation for technology’s role in advancing scientific research and institutional efficiency.

🖥️ Team Claw, India—Web Development Intern (Jul 2021–Aug 2021)

As a Web Developer Intern at Team Claw, I was tasked with designing and building a complete website from the ground up—balancing aesthetic design with backend functionality to deliver a seamless user experience. 

Using HTML, CSS, and JavaScript, I crafted a responsive and engaging front-end interface tailored to the organization’s branding and goals. On the backend, I implemented core features using PHP, enabling secure form submissions, dynamic content rendering, and database interactions for persistent data handling. 

This full-cycle development experience allowed me to integrate creative design thinking with technical execution, solidifying my foundation in front-end engineering, backend logic, and cross-functional problem-solving. The internship served as an early but crucial milestone in my journey toward becoming a full-stack engineer capable of delivering scalable, impactful digital solutions.

💼 JPMorgan Chase, India—Virtual Software Engineering Intern (Apr 2021–May 2021)

As a virtual intern at JPMorgan Chase, I gained hands-on experience at the intersection of finance and technology, working on real-world simulation tasks that mirrored the firm’s internal workflows. 

The core of my work involved building an interface to visualize live stock price data feeds, integrating Python on the backend with React on the frontend. I worked with JPMorgan's proprietary frameworks to ensure real-time data rendering and responsiveness, transforming complex market data into actionable insights through intuitive visualizations. 

This experience provided a unique window into the high-impact world of financial software, where performance, accuracy, and scalability are paramount. It deepened my interest in data-driven development, financial systems, and technical communication and demonstrated the immense potential of software to drive intelligent decision-making in the financial domain.

🔐 Goldman Sachs, India—Virtual Cybersecurity Intern (Mar 2021–Apr 2021)

As a virtual intern at Goldman Sachs, I explored the foundations of cybersecurity and data protection through hands-on tasks designed to mirror real-world threat scenarios. My primary challenge was to analyze and decrypt a leaked password hash database, simulating a breach scenario to understand security vulnerabilities. 

Using Hashcat, I successfully cracked a range of encrypted passwords hashed using MD algorithms, exposing key weaknesses in outdated hashing mechanisms. I not only performed the technical cracking but also analyzed the implications, producing recommendations to adopt more secure standards such as SHA-based algorithms, to mitigate brute-force and rainbow table attacks. 

This experience reinforced my deep interest in security engineering, highlighting the critical role of cryptography, system hardening, and vulnerability assessment in modern software systems. It served as a foundational moment in understanding how cybersecurity practices directly impact user safety and system integrity in high-stakes environments.

📊 Vigos Technologies, India — Data Science Training Intern (Jun 2021 – Jul 2021)

As a Data Science Training Intern at Vigos Technologies, I gained foundational and practical experience in the rapidly evolving field of data science and machine learning. This role offered an immersive, hands-on learning environment where I applied core concepts in real-world contexts. 

Using Python as my primary language, I explored key data science techniques such as data cleaning, statistical analysis, feature engineering, and model building. I worked with popular libraries like Pandas, NumPy, Scikit-learn, and Matplotlib, applying them in projects that simulated real-world data challenges. 

This internship solidified my understanding of machine learning workflows, from exploratory data analysis to model evaluation, and helped me appreciate the impact of data-driven solutions across industries. It was a pivotal step that fueled my long-term interest in applying data science to solve meaningful problems and inform intelligent decision-making.