Hello, I'm Prince
Full Stack Developer | LLM Integration Specialist
Building scalable, LLM-powered Systems from architecture to deployment. Specialized in full-stack development, real-time systems, and intelligent workflow automation.
❖AboutMe
Full Stack Developer passionate about building intelligent, scalable systems
Building the Future with Code & AI
I'm a Full Stack Developer with a passion for creating intelligent, scalable systems that solve real-world problems. With over 6 years of experience spanning healthcare, communication platforms, and enterprise solutions, I specialize in building end-to-end applications from architecture to deployment.
My expertise lies in integrating LLM-based intelligence into production systems, designing event-driven architectures, and optimizing performance for high-load conditions. I've worked with leading companies like Palantir Technologies, where I've automated clinical data extraction using LLMs and built scalable microservices that power enterprise workflows.
Whether it's developing real-time communication systems with WebRTC, building mobile applications with Flutter, or architecting cloud solutions on AWS, I bring a comprehensive approach to every project. I'm driven by the challenge of turning complex requirements into elegant, efficient solutions.
Full Stack Expertise
Proficient in building end-to-end applications from architecture to deployment, with expertise in React, Node.js, Python, and cloud technologies.
LLM Integration
Specialized in embedding LLM-powered intelligence into production systems, automating workflows, and enhancing data processing with cutting-edge AI.
Scalable Systems
Experienced in designing event-driven architectures, microservices, and real-time systems that handle high-load conditions with optimal performance.
Technical Leadership
Proven track record of leading projects independently, from system design and development to production support and team collaboration.
❖Technical Skills
Crafting solutions with precision and passion
Frontend & Mobile
Backend & APIs
Scalable Architecture
Cloud & DevOps
Databases & Caching
AI & LLM Integration
Security & Testing
Real-time & Messaging
❖Professional Experience
A journey of growth, leadership and impact
Key Responsibilities
- Architected AI-powered workflows using LLMs and OCR to extract and structure clinical data from CTA/Protocol PDFs, reducing manual effort by 60%
- Led development across 3 microservices supporting clinical trial patient onboarding, implementing advanced deduplication logic preventing duplicate records in CTMS
- Optimized database queries and redesigned synchronous workflows into event-driven architecture using AWS SNS, eliminating API gateway timeouts under high-load scenarios
Technologies Used
Velocity Clinical Research
Full Stack Engineer
Key Responsibilities
- Architected AI-powered workflows using LLMs and OCR to extract and structure clinical data from CTA/Protocol PDFs, reducing manual effort by 60%
- Led development across 3 microservices supporting clinical trial patient onboarding, implementing advanced deduplication logic preventing duplicate records in CTMS
- Optimized database queries and redesigned synchronous workflows into event-driven architecture using AWS SNS, eliminating API gateway timeouts under high-load scenarios
Technologies Used
❖Featured Projects
Building innovative solutions across diverse domains
Project Details
- Worked on frontend and backend bug fixes for BridgeAI, an LLM-powered application for clinical trial patient matching
- Built scripts to generate, validate, and correct patient and trial data for LLM-driven scoring
- Supported LLM-powered patient filtering and ranking logic
- Improved reliability of LLM-based patient matching system
Impact
Improved data accuracy enabling efficient patient identification and enrollment for clinical trials
Technologies Used
Bridge AI
Velocity Clinical Research
Project Details
- Worked on frontend and backend bug fixes for BridgeAI, an LLM-powered application for clinical trial patient matching
- Built scripts to generate, validate, and correct patient and trial data for LLM-driven scoring
- Supported LLM-powered patient filtering and ranking logic
- Improved reliability of LLM-based patient matching system
Impact
Improved data accuracy enabling efficient patient identification and enrollment for clinical trials
Technologies Used
❖Key Achievements
Delivering impact through innovation and technical excellence
Automated Clinical Data Extraction
Designed AI-driven workflows to extract and structure clinical data from PDFs using LLMs, OCR, and ontology-based pipelines—reducing manual effort and improving accuracy.
Event-Driven Scalability
Improved system reliability by redesigning synchronous workflows into event-driven architectures using AWS SNS, eliminating API timeouts under high-load conditions.
CCaaS Platform Leadership
Led and delivered complete Contact Center as a Service workflow as Tech Lead, owning system design, backend microservices, and end-to-end integrations.
LLM-Powered Enterprise Systems
Built and scaled AI-integrated workflows, embedding LLM-powered intelligence into production systems to enhance data processing and decision-making.
Data Integrity & Deduplication
Strengthened patient onboarding by implementing advanced deduplication logic ensuring consistent synchronization across Platform DB, CTMS, and EDW systems.
Production-Critical Problem Solver
Consistently resolved production-critical issues across healthcare, communication, and real-time platforms, improving system stability and operational confidence.
❖Education
Committed to lifelong learning
Education
Lovely Professional University
Bachelor of Technology in Computer Science
Comprehensive computer science education covering algorithms, databases, operating systems, networks, and software engineering. Built strong foundation in programming, system design, and software development through practical projects and labs.
Key Courses:
Saraswati Vidya Mandir
Higher Secondary Education (12th Grade)
Completed higher secondary education with focus on Science stream (PCM - Physics, Chemistry, Mathematics). Developed analytical thinking and problem-solving skills that laid the foundation for engineering studies.
Key Courses:
Certifications
AWS Solutions Architect Associate
Udemy
Microservices with Node JS and React
Udemy
AWS Cloud Practitioner
Udemy
JavaScript Algorithms and Data Structures
freeCodeCamp
React with Redux, React-Router, Hooks and Auth0
Udemy
❖Get In Touch
Let's collaborate and build something amazing together
Experience
6+ Years
Availability
Open for Work
Preference
Remote Friendly