Multi-Agent Debugger
Multi-agent log analysis and API-failure debugging with support for OpenAI, Anthropic, Google, and Ollama. Used across 500+ debugging sessions.
View on GitHubSenior AI Engineer Bengaluru, India
Portfolio 2026
I build production AI and backend platforms around agentic systems, retrieval, evaluation, and the unglamorous work that keeps them reliable.
01 Selected impacts
A few concrete results from AI and platform work across enterprise security, qualitative research, and developer tooling.
01 / Security AI
Built multi-agent AI automation for log analysis, case prioritization, and threat hunting at Trend Micro.
30%fewer manual security investigations
02 / Platform delivery
Led Python and Go backend delivery for Vision One SOAR and MXDR platforms serving enterprise customers.
99.9%uptime across 50+ enterprise customers
03 / Retrieval
Developed a RAG pipeline over security documents and an evaluation framework comparing OpenAI, Anthropic, and open-source models on accuracy, latency, and cost.
1,000+security documents in retrieval
04 / Developer tools
Created a Python package for multi-agent log analysis and API-failure debugging across hosted and local model providers.
500+debugging sessions
02 Working approach
My work connects data foundations, retrieval, orchestration, evaluation, and observability into one maintainable path.
Python, Django, FastAPI, PostgreSQL, Redis, S3, Kafka, and event-driven workers.
Embeddings, semantic search, document pipelines, and RAG over operational knowledge.
Multi-agent workflows with LangGraph, CrewAI, LangChain, AutoGen, and OpenAI Agents SDK.
Model comparisons and quality checks across accuracy, latency, cost, and delivered behavior.
AWS EKS, Kubernetes, CI/CD, OpenTelemetry, and production practices built for uptime.
03 Selected work
Open-source tools and product work spanning multi-agent debugging, orchestration, retrieval, and developer productivity.
Multi-agent log analysis and API-failure debugging with support for OpenAI, Anthropic, Google, and Ollama. Used across 500+ debugging sessions.
View on GitHubAn agent-team orchestration platform with search, file analysis, memory, and an LLM evaluation dashboard.
View on GitHubA framework and CLI for generating and managing autonomous agents with memory and RAG context retrieval.
View on GitHubPython utilities for JSON-to-TOON conversion, AI tooling, and developer productivity workflows.
Explore the repositories04 Career
A decade of building, leading, and operating software across enterprise platforms, security, data, and AI.
Jul 2026 – Present
Scopely
Working in the central GenAI team to enable AI adoption and build applications with coding agents. Enabled company-wide AI observability with OpenTelemetry, co-developed multi-agent delivery workflows, and guided implementation decisions and code quality.
Dec 2025 – Apr 2026
HeyMarvin
Owned a backend data-ingestion layer for an AI-powered qualitative research platform, including Django services, FastAPI workers, retrieval pipelines, PII detection and redaction, audit logging, and test coverage.
May 2023 – Nov 2025
Trend Micro
Led Python and Go delivery for enterprise security platforms, built multi-agent AI automation, and developed RAG and model-evaluation systems. Architected AWS EKS microservices, delivered service integrations, and mentored a 10-member engineering team.
Jul 2018 – Apr 2023
Knowledge Lens
Owned architecture and delivery for enterprise Python platforms. Built IoT monitoring for 5,000+ devices, license-management and self-healing systems, and REST and AWS Lambda/S3 analytics pipelines.
Oct 2016 – May 2018
Tech Mahindra
Automated secure file exchanges, Linux health checks, and memory diagnostics with Python and shell scripting, while handling 24x7 production incident response and root-cause analysis.
05 Capabilities
AI engineering grounded in backend fundamentals, distributed systems, and the operational details that make products dependable.
01
Agentic AI, multi-agent systems, RAG, LLM integration, prompt engineering, LLM evaluation, embeddings, semantic search, LangGraph, CrewAI, LangChain, AutoGen, OpenAI Agents SDK.
02
Python, Go, Rust, JavaScript, TypeScript.
03
FastAPI, Django, Flask, Celery, SQLAlchemy, Pydantic, REST, GraphQL, microservices, event-driven architecture, distributed systems.
04
AWS EKS, Lambda, S3, SQS, RDS, API Gateway, GCP, Azure, Docker, Kubernetes, Terraform, CI/CD, PostgreSQL, Redis, MongoDB, Kafka, RabbitMQ, Pytest, Prometheus, Grafana, OpenTelemetry.
07 Resume
Experience, selected projects, technical scope, education, and certifications in one PDF.
Resume preview is unavailable. Open the PDF to read the full document.
08 Contact
For conversations about production AI, agentic systems, retrieval, platform reliability, and measurable outcomes, get in touch.