About Me
Professional Background
Full-Stack Developer with 3 years building scalable healthcare SaaS platforms serving 80+ users across 20+ businesses. Reduced operational costs by 90% through microservices architecture and AI automation. Collaborated with cross-functional teams and third-party vendors to deliver integrated solutions.
Technical Expertise
Proficient in Python, Go, React, and Next.js with hands-on experience in HIPAA-compliant systems and cloud deployment. Specialized in building high-performance distributed systems with event-driven architecture and microservices.
Skills & Technologies
Comprehensive technical expertise across full-stack development, cloud infrastructure, and modern architecture patterns.
Languages
TypeScript, JavaScript, Python, Golang
Frameworks
Next.js, Django, Flask, Node.js, FastAPI, React.js
Databases
PostgreSQL, MongoDB, DynamoDB, Redis
DevOps & Infrastructure
Docker, Nginx/Apache, CI/CD Pipelines (Github Actions), Automated Database/RAM Optimization, Secure Cloud Storage
Architecture
Event-Driven Systems, Microservices, System Design, AI-Assisted Development (Claude Code, Cursor), LLMs
Additional Skills
REST APIs, GraphQL, WebSocket, HIPAA/DPDP Compliance, OCR, Load Balancing, Zero-Downtime Deployment
Professional Timeline
My journey through various roles and experiences
May 2023 – Present
May 2023 – Present
Software Developer
Dr Dangs Lab, New Delhi
- Built Laboratory Information Management System for 15+ departments serving 500+ daily patients, reducing report processing time by 60% (Django, React.js)
- Engineered Go/FastAPI microservices platform handling 10,000+ monthly records with 99.9% uptime and HIPAA/DPDP compliance
- Automated medical report extraction using Python OCR, processing 1,000+ daily reports and eliminating 90% of manual errors
- Designed API gateway with load balancing handling 50,000+ daily requests at sub-100ms latency (REST, GraphQL, WebSocket)
- Reduced deployment time by 92% (4 hours → 20 minutes) using Docker/Nginx pipeline enabling daily zero-downtime releases
Feb 2023 – May 2023
Feb 2023 – May 2023
Frontend Developer
BeanByte Softwares, Jaipur
- Developed 10+ production web applications in React.js with pixel-perfect UI, increasing user engagement by 30%
- Translated design mockups into functional interfaces collaborating with cross-functional teams
- Optimized Redux and Context API implementation, reducing page load times by 25%
Jun 2022 – Dec 2022
Jun 2022 – Dec 2022
Frontend Developer Intern
GoBOLT, Gurugram
- Built 5+ shipment tracking features in React.js, improving accuracy by 35% for 1,000+ daily users
- Integrated 8+ frontend components with backend APIs for authentication and data visualization
- Resolved 20+ UI bugs through code reviews and agile collaboration, improving stability by 40%
Featured Projects
A showcase of my work in building scalable systems, healthcare platforms, and innovative solutions that have made real-world impact across multiple industries.
LiquorPro
Enterprise-grade inventory management platform serving 20+ businesses with 80+ users across Uttar Pradesh, revolutionizing liquor retail operations.
A comprehensive SaaS solution that transformed how liquor retailers manage inventory, sales, and compliance across multiple stores.
Key Achievements:
- •Reduced data entry time by 90% (45 minutes → 5 minutes) using AI-powered OCR
- •Achieved sub-100ms response times with optimized Go microservices
- •Serving 80+ users across 20+ businesses in Uttar Pradesh
- •Built event-driven architecture with Kafka for real-time inventory updates
- •Implemented Redis caching layer reducing database load by 70%
Tech Stack
Laboratory Information Management System (LIMS)
Enterprise healthcare system for Dr Dangs Lab managing 15+ departments, 500+ daily patients, and processing 1,000+ medical reports daily.
Comprehensive LIMS platform revolutionizing healthcare operations with automated report processing and real-time analytics.
Key Achievements:
- •Reduced report processing time by 60% through automation
- •Processing 1,000+ daily medical reports with 90% error reduction
- •Serving 500+ daily patients across 15+ departments
- •Built Python OCR system eliminating manual data entry errors
- •Implemented real-time report delivery via WebSocket connections
- •Achieved 99.9% uptime with zero-downtime deployment pipeline
Tech Stack
FloeMed
Revolutionary healthcare blockchain platform with Apple Watch integration for secure, immutable medical records and real-time health monitoring.
Next-generation healthcare solution combining blockchain technology with wearable integration for secure patient data management.
Key Achievements:
- •Built immutable medical records system using blockchain technology
- •Integrated Apple Watch for real-time health metrics synchronization
- •Enabled secure patient analytics with end-to-end encryption
- •Developed cross-platform mobile app using Flutter
- •Implemented HealthKit integration for seamless data collection
- •Created smart contracts for secure data sharing between healthcare providers
Tech Stack
Microservices Healthcare Platform
Scalable Go/FastAPI microservices architecture handling 10,000+ monthly records with 99.9% uptime and HIPAA/DPDP compliance.
Enterprise-grade distributed system built for healthcare operations with focus on reliability, security, and compliance.
Key Achievements:
- •Handling 10,000+ monthly records with 99.9% uptime
- •Achieved HIPAA/DPDP compliance for healthcare data
- •Built API gateway handling 50,000+ daily requests at sub-100ms latency
- •Implemented load balancing for high availability
- •Reduced deployment time by 92% (4 hours → 20 minutes)
- •Supports REST, GraphQL, and WebSocket protocols
Tech Stack
Latest Articles
Technical deep-dives on backend engineering, system design, and modern development practices.
Why Indian Users Need an India-First AI Search Engine
Generic AI models fail on Indian context - lakhs, crores, Hinglish, govt schemes. FOMOA is built for India.
Database Connection Pooling: The Performance Fix
How I learned about connection pooling after our PostgreSQL database crashed under load.
Building AI-Native Backends: Architecture for 2026
Complete guide to designing backend systems for AI agents - MCP protocol, vector databases, governance.
Let's Connect
I'm always interested in hearing about new projects and opportunities. Whether you have a question or just want to say hi, feel free to reach out!