About Me
Get to know me better

AI Engineer & Full Stack Developer
I'm a passionate AI Engineer and Full Stack Developer with expertise in building intelligent systems and web applications. Currently pursuing my Master's in Computer Science at Stevens Institute of Technology, I specialize in AI technologies including RAG, NLP, and working with various LLMs like OpenAI GPT, Claude, and Gemini. I also work as a Web & Media Graduate Assistant at the Hanlon Financial Systems Center, where I assist with web development and media projects.
Work Experience
My professional journey
Founding AI Engineer
Future Path AI
- Built real-time voice and chat agents integrated with Microsoft Teams and SIP telephony, orchestrating text-to-speech and speech-to-text pipelines for interruption handling and dialogue state management. Achieved around 400ms end-to-end latency at 10k+ concurrent sessions.
- Engineered multi-tenant AI agents with a modular RAG architecture leveraging vector databases (LanceDB, Qdrant) for semantic retrieval and deployed secure on-prem solutions for Fortune 500 pharma/finance that boosted factual accuracy by 30%.
- Developed AI-based intent classifiers integrated with various ITSM tools such as ServiceNow, Intune, MS365 to automate IT support workflows by leveraging LLMs for generative UI rendering via dynamic adaptive cards, reducing average ticket resolution time by 60% compared to manual triage processes.
- Built follow-up suggestion and citation systems using semantic context linking and retrieval-grounded prompting, lowering ungrounded responses by 45% and improving accuracy and reliability across interactions.
Software Engineering Intern
Nagarro
- Engineered a comprehensive Product Community Website leveraging Java, Spring Boot, Hibernate, MySQL, and Angular to deliver modular services for user registration, product browsing, and review management—boosting new user sign-ups by 50% through a scalable, event-driven architecture.
- Developed high-performance RESTful APIs using Java Spring Boot for secure user authentication, registration, product search, and review management. Optimized API workflows with microservices design and strategic caching, reducing 95th percentile response times by 30%.
- Integrated Hibernate ORM with MySQL to enforce secure and efficient data storage/retrieval for user and product information. Implemented advanced indexing and query optimization strategies, resulting in a 40% improvement in database query efficiency.
- Created interactive, responsive front-end interfaces using Angular that leverage dynamic content rendering and client-side caching, leading to a 25% increase in page views per user and improved session engagement.
Education
My academic background
Stevens Institute of Technology
Master of Science (MS), Computer Science
- Web & Media Graduate Assistant at Hanlon Financial Systems Center
Manipal University Jaipur
Bachelor of Engineering (BE), Information Technology
Skills & Expertise
Technologies I work with
Programming Languages
AI and ML
Large Language Models
Frameworks and Libraries
Databases and DevOps
Projects
Some of my recent work
Surround Shield AI
AI-powered personal health guardian that tracks vital metrics, monitors location data, and delivers real-time, personalized health insights using advanced analytics.
Key Features:
- Developed SurroundShield, an AI-powered personal health guardian that tracks vital metrics (e.g., BMI, weight, height), monitors location data, and delivers real-time, personalized health insights using advanced analytics.
- Integrated Databricks Playground for LLM processing using the LLAMA 3.1 70B model, enabling context-aware health recommendations, risk assessments, and proactive alerts, thereby boosting overall user engagement and system efficacy.
- Architected a full-stack solution using React.js for dynamic UI development, Node.js/Express.js for scalable user management, and Python Flask for deploying AI/ML services, ensuring seamless cross-layer integration.
- Secured data storage with MongoDB Atlas and implemented Argon2id for password hashing to ensure robust protection, compliance, and data integrity.
PawPal
A full-stack web app connecting pet owners with pet care service providers for pet management and adoption.
Key Features:
- Developed PawPal, a full-stack web app using Node.js, Express.js, and MongoDB connecting pet owners with pet care service providers for pet management and adoption.
- Implemented secure authentication and session management with bcrypt for password hashing and express-session for user sessions, protecting user and service provider data.
- Integrated ElasticEmail API for sending appointment confirmation emails with dynamic details and checklists, as well as enabling secure password recovery with one-time passwords (OTPs).
- Enhanced PawPal community engagement through appointment scheduling, post creation, commenting, and review features, facilitating communication and feedback loops.
Contact Me
Let's get in touch