My Experience
Explore my professional journey, education, and career milestones.
Work Experience
My professional journey and accomplishments
Innovation Hacks AI
Full-Stack Developer
April 2023 – August 2024
Mumbai, India
Key Responsibilities & Achievements
- Built 10+ dynamic UI using D3.js, improving user engagement by 40% and accelerating feature releases by 30%.
- Optimized API integrations WebSockets, reducing data fetch latency by 20% and increasing real-time efficiency.
- Led debugging and issue resolution, fixing 90+ critical bugs, cutting downtime by 50%, and enhancing stability.
- Implemented CI/CD pipelines using Azure DevOps, and Docker reducing deployment time by 40%
AIM4U
AI Intern
January 2025 – Present
Remote
Key Responsibilities & Achievements
- Trained ResNet and VGG19 models for skin disease detection, achieving 90.3% accuracy through rigorous evaluation on diverse dermatological datasets.
- Replaced AWS Lambda with a scalable Django API, later deploying it on an AWS server with Nginx as a reverse proxy, reducing inference latency by 40% and enabling seamless integration with Flutter-based mobile app.
Resume
Professional experience & skills
Career Timeline
A chronological overview of my education and professional experience.
Sardar Patel Institute of Technology
B.Tech in Computer Engineering
2024 – 2027
Mumbai, India
S.P. Jain Institute of Management & Research
Minors in Management
June 2025 – May 2027
Mumbai, India
KJ Somaiya Polytechnic
Diploma in Computer Engineering
2021 – 2024
Mumbai, India
Innovation Hacks AI
Full-Stack Developer
- Built 10+ dynamic UI using D3.js, improving user engagement by 40% and accelerating feature releases by 30%.
- Optimized API integrations WebSockets, reducing data fetch latency by 20% and increasing real-time efficiency.
- Led debugging and issue resolution, fixing 90+ critical bugs, cutting downtime by 50%, and enhancing stability.
- Implemented CI/CD pipelines using Azure DevOps, and Docker reducing deployment time by 40%
April 2023 – August 2024
Mumbai, India
AIM4U
AI Intern
- Trained ResNet and VGG19 models for skin disease detection, achieving 90.3% accuracy through rigorous evaluation on diverse dermatological datasets.
- Replaced AWS Lambda with a scalable Django API, later deploying it on an AWS server with Nginx as a reverse proxy, reducing inference latency by 40% and enabling seamless integration with Flutter-based mobile app.
January 2025 – Present
Remote