Headline

Building Enterpret

About

Experienced engineer with a strong background in distributed systems, event-driven architectures, and platform engineering. Passionate about designing high-scale, reliable, and developer-friendly platforms that accelerate product development.

Location

Bengaluru

AI stack

anthropic apis

claude code

claude

codex

langgraph

mcp

Work experience

Engineering Leader at Enterpret, Jan 2025 - Present · 1 yr 8 mos, Bengaluru, Karnataka, India, Building Enterpret | An innovative AI driven customer feedback analysis platform

Member of Technical Staff at DevRev, Jun 2023 - Jan 2025 · 1 yr 8 mos, Bengaluru, Karnataka, India, Tech Lead Change Data Capture (CDC) & Event-Driven Architecture • Designed and owned the Change Data Capture (CDC) initiative, building a highly scalable platform to drive all event-driven initiatives on MongoDB and DynamoDB, leveraging Kafka Connect. • The CDC pipeline powered 95% of event-driven use cases across the company, enabling teams to write business logic quickly on top of change events. Company-Wide GDPR Initiative & Observability • Led the company-wide GDPR initiative, collaborating with legal and engineering stakeholders to design and implement a high-performance audit log, a core compliance requirement. • Leveraged Fluent Bit, an open-source technology, to build the audit logging pipeline, which later became the foundation for the company’s in-house observability stack for logging and metrics. System Architecture & Cross-Team Initiatives • Workflow Engine: Worked with multiple teams to design and build a workflow automation platform, enabling customers to automate mundane tasks using AI agents. • Self-Serve Analytics: Led the development of a client-side analytics service leveraging DuckDB, unlocking in-browser computation for freemium users. • Event Tracking Platform: Built a central event tracking pipeline that auto-captures events and supports custom instrumentation via SDKs. Tech Advocacy & Leadership • Advocated and led horizontal engineering efforts to improve platform reliability, scalability, and developer productivity across teams. • Developed deep expertise in Kafka and MongoDB, influencing best practices across the engineering org. • Mentored several engineers and led cross-functional engineering groups to deliver high-impact projects on tight timelines.

Founding Engineer at epiFi, Mar 2020 - Jun 2023 · 3 yrs 4 mos, Bengaluru, Karnataka, India, Tech Lead | Platform & Feature Engineering | Distributed Systems Feature Engineering at Fi • Account Aggregator: Led the Account Aggregator module from scratch, enabling users to connect external bank accounts and gain insights into balances and transactions. Scaled to 300K+ users within 6 months of launch. • Video KYC: Built the backend for the video KYC module, allowing users to schedule and conduct live video calls with bank-authorized agents for full KYC conversion. • Communications Platform: Designed and led the development of a highly available and reliable communications platform for notifications, emails, SMS, and other user communications. Extended this to support marketing campaigns and scheduled messaging. • Customer Experience Platform: Led the development of a CX initiative, integrating internal support tools with ticketing platforms to enhance chat, email, and live call support. Built role-based access controls (RBAC) and a customer authentication workflow to surface dynamic information based on authentication checks. Platform Engineering at Fi • Tech Leadership & Cross-Team Initiatives: Worked as a Tech Lead, driving cross-team and horizontal engineering initiatives, ensuring scalability, reliability, and observability across core platform components. • Distributed Tracing: Designed and implemented distributed tracing using OpenTelemetry, enabling engineering teams to leverage Jaeger, SigNoz, and AWS X-Ray for in-depth issue analysis. • Event-Driven Architecture: Developed a pub-sub library on top of AWS SQS, standardizing event-driven communication across teams. • Rate Limiting: Built rate-limiting libraries for application-level business logic and batch processing consumers to manage event-driven workloads efficiently. • Feature Store: Led efforts to build a Feature Store platform, centralizing feature creation for data science teams and enabling ML-based use cases.

Software Engineer at Flipkart, Jul 2018 - Dec 2019 · 1 yr 6 mos, Bengaluru, Karnataka, India, Microservices & API Development • Developed a high-performance API in Dropwizard to fetch user segments for personalized grocery offers. • Scaled the API to handle 7M requests per second with minimal resource usage, optimizing for cost and performance. • Integrated circuit breakers for fault tolerance and conducted extensive load testing using Locust, including profiling for maximum throughput. Audience Manager & Big Data Processing • Worked on Spark-based batch processing in the Audience Manager Targeting System, enabling efficient user segmentation. Ads Platform & Big Data Engineering • Developed data processing utilities for HDFS clusters, optimizing data storage and access for large-scale ad events. • Built MapReduce jobs for efficient event data processing, improving throughput and cost efficiency. • Worked extensively with big data technologies, including Druid, Apache Crunch, HDFS, Sqoop, and Apache Storm, optimizing pipelines for real-time and batch processing use cases.

problem setter at HackerEarth, Oct 2017 - Apr 2018 · 7 mos, home

Education

Bachelor's degree, Information Technology, Delhi Technological University