Available for new opportunities
Aniket Bhatia
Backend Developer. I try to build high-performance web applications with a focus on clean architecture and exceptional user experiences. Based in Mumbai, I specialize in backend development using Python and AI integrations.
Mumbai, Maharashtra
About Me
I'm a software engineer who loves building tools that empower people. My journey started with a curiosity for how things work under the hood, which led me to dive deep into web technologies and eventually AI.
Currently, I'm focused on exploring the intersection of human creativity and artificial intelligence. I believe that AI should be a co-pilot, not a replacement, and I strive to build backend systems in a way that reflects this philosophy.
Interests
- Backend Development
- Problem Solving
- Clean Code & Architecture
- Yoga & Sportz
- Mangoes during Summers
- Pakodas during Rains
- Soaking Sun during Winters
- Blooming Trees during Spring
Work Experience
Backend Developer
2024 - PresentBPCL
Leading the backend for quick-commerce vertical of the organization
Open Source Developer
July'23 - August'23Code4GovTech
Developed a WhatsApp-based appointment booking system for Bahmni, a healthcare management system
SDE Intern
Jan'23 - June'23DataHive Labs
Built doctor-patient engagement systems using AWS Cloud stack
Selected Projects
NFR - Non Fuel Retail
Problem: BPCL owned In-Out (I&O stores) faced challenges in penetrating the market with the rise of quick-commerce based solutions
Solution: Developing a backend system using FastAPI that integrates with the existing inventory and sales systems to penetrate the relevant customers and reduce the cost of acquisition
Impact: With this going live, the e-commerce vertical is expected to grow by 10-20% in the next year
Seekers Feed
Problem: Lack of a single platform for people seeking answers to some relevant questions
Solution: A simple CMS based blog platform to help people seek answers to their questions
Impact: Improved weekly logging consistency by 2.4x and helped users reduce reported footprint by 18% in 3 months.
StreamLine
Problem: Streaming operators lacked a single dashboard for live quality metrics and viewer behavior insights.
Solution: Developed a real-time analytics console combining stream health telemetry, engagement charts, and anomaly alerts.
Impact: Reduced incident response time by 42% and improved stream uptime during peak events.