Engineering the systemsbehind autonomous AI.
8+ years designing distributed systems, LLM infrastructure, and production-scale backend platforms - from multi-agent orchestration frameworks to fault-tolerant payment services processing high-volume transactions.
8+
Years of experience
10+
AI/ML Applications Built and Deployed
95%
CI/CD test coverage delivered
I build the applications and infrastructure that makes AI systems reliable in production.
I'm a Senior Software Engineer with 8+ years of experience designing distributed systems, AI infrastructure, and production-scale backend platforms. My work spans autonomous LLM-powered systems - multi-agent workflows, Retrieval-Augmented Generation (RAG) pipelines, AI debugging agents and the event-driven microservices that keep them running reliably at scale.
I have worn many hats in my career ranging from Data Engineer to Backend to AI Engineer, but recently I care most about the unglamorous parts of AI engineering: development, deployment, observability, context management, idempotency, crash recovery, and the test coverage that lets a team ship autonomous systems with confidence. Across Agoda, Walmart Global Tech, and Adobe, I've architected payment platforms, semantic retrieval pipelines, and large-scale data infrastructure processing terabytes of enterprise data.
Currently based in Texas, open to relocation, and looking for Staff/Senior roles at the intersection of distributed backend systems and applied AI.
Core Expertise
8+
Years of experience
4
Companies
5
Engineers led
2× 1st place
Hackathon wins
Career Timeline
Eight years across payments infrastructure, enterprise AI platforms, and large-scale data engineering.
Senior Software Engineer · Agoda
Jul 2025 — Mar 2026Bangkok, Thailand
Architected low-latency, fault-tolerant payment microservices for Agoda Wallet on a Kafka-based event-driven architecture.
- Architected and engineered low-latency, fault-tolerant payment microservices for Agoda Wallet, leveraging a Kafka-based event-driven architecture and idempotent APIs to support high-volume transactions, resulting in a 20% reduction in processing latency and near 99.9% availability.
- Built automated integration, resilience, and chaos testing frameworks to validate fault tolerance under production-scale workloads, achieving more than 95% test coverage.
- Optimized CI/CD pipeline reliability, resulting in a 30% improvement in deployment efficiency.
- Built resilient event-driven microservices supporting unattended production environments.
- Designed idempotent APIs with retry, audit logging, crash recovery, and state management.
- Implemented asynchronous processing for high-throughput distributed systems.
Senior Software Engineer · Walmart Global Tech
Feb 2021 — Jun 2025Bengaluru, India
Led semantic retrieval and enterprise NLP platforms serving multiple internal teams, including a multi-tenant PII redaction service.
Associate Data Engineer · Adobe
Nov 2017 — Jan 2021Bengaluru, India
Architected large-scale Spark and Airflow data pipelines for Adobe Analytics, processing terabytes of enterprise data.
Product Engineer Trainee · INSZoom
Aug 2017 — Oct 2017Bengaluru, India
Developed backend service modules using ASP.NET and C#.
Projects
Autonomous systems and AI-driven platforms, built end-to-end — from architecture to evaluation.
BugBot
FeaturedAI-Driven Automated Pipeline Debugging Agent
A multi-agent framework where specialized LLM agents collaborate to debug data pipelines: log analysis, root-cause analysis, SQL validation, code repair, and remediation planning.
5
Agent roles
SQL · Python · Bash
Tool integrations
3
Evaluation dimensions
AI-Powered Real-Time Stock Market Monitoring
FeaturedStreaming analytics with automated alerting
A real-time analytics system that detects market volatility patterns and triggers automated WhatsApp alerts via Twilio, combining rule-based logic with anomaly detection.
WhatsApp (Twilio)
Alert channel
Real-time streaming
Processing
Hybrid (rules + ML)
Detection approach
Skills & Tech Stack
Organized the way I actually think about the stack — from AI engineering down to the infrastructure that keeps it observable.
AI Engineering
- Large Language Models (OpenAI, Claude)
- Retrieval-Augmented Generation (RAG)
- Multi-Agent Systems
- Prompt Engineering
- Context Management
- Tool Calling / Function Calling
- Agent Memory
- Hallucination Mitigation
- AI Evaluation Frameworks
- MCP
- LangGraph
- LangChain
- CrewAI
Vector Search
- FAISS
- pgvector
- Pinecone
- Weaviate
- Milvus
- Hybrid Search
- Embedding Models
- Reranking
Backend
- Async Python
- FastAPI
- REST
- gRPC
- Kafka
- Redis
- PostgreSQL
Observability
- OpenTelemetry
- Prometheus
- Grafana
- Structured Logging
- Distributed Tracing
Data Engineering
- Spark
- Hadoop
- Airflow
- Great Expectations
Databases
- PostgreSQL
- BigQuery
- MongoDB
- Elasticsearch
AI Developer Tooling
- Cursor
- GitHub Copilot
- Claude Code
- ChatGPT
- Windsurf
Academic Background
M.Tech, Masters in Data Science
Birla Institute of Technology and Science (BITS), Pilani, India
GPA: 8.25 / 10
B.E., Computer Science and Engineering
Jawaharlal Nehru Technological University (JNTU), Kakinada, India
GPA: 9.41 / 10
Recognition
Hackathon wins and professional recognition earned across engineering teams.
Hackathons
1st Place — Airbus Aerothon 6.0
2024
2nd Place — Databricks GenAI World Cup
2024
2nd Place — CareerNet Big Data Hackathon
2023
1st Place — Barclays All India Women Hackathon
2019
Professional Recognition
Associate of the Month
Walmart
Team of the Quarter
Walmart
Bravo Award
Walmart
Delight Driven Consultant
Adobe
Let's build something reliable.
Open to Senior/Staff Forward Deployed Engineer and AI Engineer roles. Happy to talk distributed systems, multi-agent architectures, or just trade war stories about production incidents.