Technical architect / backend engineer with 12+ years building and modernizing systems across finance/trading, food-tech,aviation, e-commerce, and storage platforms. I am strongest in system design, performance tuning, and taking legacy services
to stable, observable, scalable platforms on AWS. I have built data-heavy pipelines (including market data feeds / broker APIs)
and shipped latency-critical improvements (e.g., reducing a sync flow from ~40 minutes to seconds with distributed caching).
I like owning problems end-to-end: architecture, delivery, and production support.
Over the last 12 years, I have successfully transformed my career from an Operations Engineer into a specialized Senior Python Developer and aspiring Technical Architect. My journey began with one of India's largest IT firms and has evolved through innovative startups and global corporations.
My current focus is on high-level system design and cloud-native applications. I specialize in building robust backend platforms for Finance, Food-Tech, Aviation,E-commerce.
Recently, I have focused on orchestrating complex multi-provider delivery networks, designing real-time failover mechanisms, and implementing Redis-based caching layers that drastically reduce load times. I thrive in environments where code quality, TDD, and scalability are paramount.
Beyond my professional work, I am deeply passionate about the intersection of technology and finance. As an aspiring Quant Developer, I develop algorithmic trading strategies using the Interactive Brokers API. This personal focus on low-latency architecture and high-precision data handling influences my engineering philosophy, ensuring that the systems I build are not just functional, but highly optimized and fail-safe.
Backend Expertise
Scalable backend systems, microservices architecture, REST APIs, and multi-provider delivery orchestration with failover mechanisms.
Performance & Quality
API latency optimization, TDD/BDD practices, code reviews, PEP-8 standards, and chunk-based task architectures for high-volume workloads.
Modern DevOps
Docker, Kubernetes, CI/CD pipelines, monitoring with ELK/Splunk/Datadog, and migration from monolithic to microservice architectures.
Skills & Tech Stack
Technical expertise across languages, frameworks, databases, and DevOps.