Headline

Senior Backend Engineer who obsesses over simplicity at scale | Agentic AI & distributed systems @ Spectatr.ai | Ex-Amazon

About

"Over 6 years of experience designing, building, and operating cloud‑based backend platforms and infrastructure, with a focus on reliability, scalability, and observability in production environments." Hi, I am a Software Development Engineer focused on building reliable, scalable backend systems and production-grade Agentic AI workflows. Currently, I work at a B2B startup in the esports domain, where I design, build, and maintain backend platforms serving international clients at scale. My role involves true end-to-end ownership—from system design and architectural decisions to implementation, optimization, and handling real-world production challenges. At work, you’ll often find me discussing or teaching the latest developments in AI or diving deep into database internals—the latter being my favorite rabbit hole. A significant part of my current work centers around Agentic AI systems, where I design workflows in which autonomous agents reason, act, coordinate, and integrate seamlessly with backend services in a controlled, scalable, and observable manner. I enjoy working at the intersection of traditional backend engineering and applied AI, ensuring that AI-driven systems are not just intelligent, but also robust, secure, and production-ready. On the engineering side, I work extensively on: Backend system design and architecture High-throughput, low-latency services SDK and platform integrations for partner applications API design, data flows, and reliability at scale Applying AI agents within real business workflows (not demos) I care deeply about clean architecture, performance, and long-term maintainability. I enjoy solving ambiguous problems, breaking them down into simple, well-designed systems, and shipping solutions that actually get used. I strongly believe that good software engineering is less about clever hacks and more about making systems boringly reliable. Open to discussions around backend engineering, Agentic AI, and scalable system design.

Location

Bengaluru

AI stack

cursor

hugging face

langchain

langgraph

Work experience

Lead AI Engineer at SPECTATR.AI, May 2025 - Present · 1 yr, Gurugram, Haryana, India, * Architected an enterprise-grade AI chatbot ecosystem: 6+ specialized agents built using LangGraph state-machine orchestration, policy-based guardrails, and rate limiting, establishing the core technical foundation for the company’s AI product line. • Slashed LLM hallucination by 80% via an automated evaluation and regression pipeline in LangSmith with prompt versioning and continuous refinement loops, directly improving production reliability. • Defined and owned an LLM-powered hyper-personalization engine, persisting long-term user memory in Mem0 backed by Qdrant vector search, extracting structured profiles to serve personalised content across 4 surfaces — articles, videos, polls, and trivia — via a precomputed feed with Bloom filter deduplication, delivering a cohesive per-user experience at scale. • Spearheaded all cross-cutting technical decisions: model selection, cost-performance tradeoffs, vector search tuning, and conditional agent routing. Functioned as the de facto technical lead across AI and backend teams. • Launched a live-stream ingestion pipeline for real-time sports broadcast processing. Incoming SRT feeds converted to HLS using AWS MediaLive and Lambda, with segment storage backed by S3, enabling the extraction of downstream highlights at near-real-time latency for live match coverage.

SDE-2 at SPECTATR.AI, Mar 2022 - Apr 2025 · 3 yrs 2 mos, Gurugram, Haryana, India, * Engineered a change data capture pipeline using Debezium to stream database mutations into the caching layer in near-real- time, eliminating manual cache invalidation and ensuring read-path consistency across 3+ services. • Constructed a resumable multi-part video upload system for the highlights product, tracking per-chunk integrity via fingerprint hashing in the database ensuring fault-tolerant, idempotent uploads resilient to network interruptions and partial failures. • Pioneered a social graph service via dual-write denormalization and Redis sorted sets for sub-ms retrieval. Streamlined atomic, single-shard query resolution, catalyzing a 25% surge in social discovery and a 12% lift in Day-30 retention. • Consolidated payment orchestration for 3+ product lines (B2B, D2C, SaaS), integrating Stripe, GCash, and Razorpay. Engineered automated post-match ticket reconciliation and SNS/SQS-driven settlement with zero-downtime failover, ensuring real-time transaction visibility for global and domestic users. • Forged a behavioral segmentation engine over user engagement signals, and a gamified in-app currency system powering targeted retention campaigns, yielding a 30% improvement in user retention rates and engagement frequency.

SDE at Amazon, Jun 2019 - Feb 2022 · 2 yrs 9 mos, Hyderabad, Telangana, India, * Developed and maintained backend services that handle high-traffic customer quote data using the MVC framework with Spring Boot. • Built a notification platform hosted on EC2, consuming SQS event streams to trigger customer notifications across multiple channels. • Managed AWS resources including EC2, CloudFormation, and SQS, ensuring the scalability and observability of production systems. • Resolved multiple critical and high-severity issues during on-call rotations, maintaining SLA compliance and platform reliability.

Technical Member at Coding Club NIT Silchar, Feb 2016 - Apr 2019 · 3 yrs 3 mos, Silchar, Assam, India

Education

Bachelor’s Degree, Computer Engineering, National Institute of Technology Silchar

Engineer's degree, Android Development, RCPL