About Me
Writing about scalable systems & AI-ready engineering
I'm a Staff Software Engineer who loves building scalable, reliable systems and solving backend problems.
Over the last 9+ years, I've worked across fintech, crypto, mobility and data at companies like Snowflake, BitGo, PhonePe, Rapido and Tricon, designing and leading systems that handle millions of users and large-scale data workloads.
My Work Spans
- Distributed systems & microservices – architecting and scaling critical platforms (auth, notifications, infra APIs, etc.)
- Cloud & infrastructure – Kubernetes, Docker, Terraform, on-prem "cloud-like" platforms and modernizing legacy systems
- Data & AI/ML – pipelines, analytics, and an active interest in Generative AI, LLMs and how they power real products
Along the way, I've
- Led high-performing engineering teams on platform and infrastructure projects
- Designed APIs, SDKs and tooling that other engineers rely on every day
- Worked on compliance, risk and KYC flows in highly regulated environments
- Contributed to cost savings, reliability, uptime and performance improvements
What I Share
- Real-world engineering lessons from backend, infra and distributed systems
- Thoughts on system design, reliability and scaling platforms
- Learnings from working in fast-paced product companies and startups
- Content on AI/ML, Generative AI and career growth in engineering
If you're into backend engineering, infra, data, AI/ML or tech leadership, my goal is to share practical content you can learn from. Always happy to connect with engineers, builders and tech leaders.
Focus Areas
Experience
Staff Software Engineer (IC4)
- Building AI-ready data infrastructure and backend systems at scale
- Working on distributed systems for enterprise AI and ML workloads
- Driving technical excellence and system design across teams
Staff Software Engineer (E3)
- Led Global Travel Rule project ensuring seamless digital asset withdrawals across countries while complying with local regulations
- Developed risk scoring service to enhance detection of money laundering and terrorist financing using Snowflake and Postgres
- Contributed to KYC verification flow with Persona, integrating real-time data pipelines for status synchronization
Lead Software Engineer
- Led high-performing platform team driving development of scalable in-house platform products emulating cloud-like functionality
- Orchestrated distributed systems for core infrastructure supporting 400M+ users, focusing on authentication and notification services
- Architected PPEC Cloud API Architecture with APIs, RBAC, CLIs, and SDKs for provisioning cloud resources across data centers
- Designed Project Change Management Request framework, reducing production outages by 50%+
- Pioneered asynchronous architecture using Celery, RabbitMQ, and Airflow for improved scalability
Software Engineer
- Played pivotal role in designing and developing microservices for millions of users with focus on performance optimization
- Led development of notification and user profiling services, enhancing user engagement and personalization
- Contributed to internal identity management, improving secure authentication and authorization
Software Engineer
- Designed and developed Coupon Generation, Notification, and Subscription microservices handling 1M+ daily rides
- Spearheaded migration from traditional VM infrastructure to Docker and Kubernetes, reducing costs by 40%
- Implemented logging, monitoring, and alerting stacks with Consul and Vault for service discovery and secrets management
Software Engineer
- Conducted sentiment analysis on Twitter tweets and news articles using GCP NLP API and Neo4j
- Designed robust data pipelines using Apache Airflow, automating data workflows and improving efficiency
- Developed Matching Engine pipeline using Fuzzy Logic achieving 90% accuracy for Ringgold ID matching
- Built Counter Report Analytics Pipeline processing live event streaming data
- Provisioned AWS infrastructure using Terraform and Serverless architecture
- Developed REST APIs using Node.js and Flask following Test-Driven Development principles
Publications & Recognition
Publications
Designing Agent-Ready APIs in the Real World
Lessons learned from wiring legacy endpoints to LLMs - practical patterns for making APIs consumable by AI agents.
10 Essential Advanced Concepts Every Python Programmer Should Master
Elevate Your Python Skills: Discover the Key Concepts That Will Propel You to Expert Status.
Awards
Employee Of the Quarter
Tricon Infotech
Dec 2018
Recognized for exceptional technical contributions in the UBX team. Helped migrate Machine Learning code from Azure to AWS, architected solutions on Apache Airflow, and proactively assisted with the IP Mapping pipeline.
VayuX AI
VayuX AI is focused on creating intelligent tools using AI, RAG systems, and modern agent architectures. Our flagship project Prep AI helps candidates prepare for technical and behavioral interviews.