Akash Patil
Building production AI-driven SaaS across AWS and GCP. Shipped 3 AI products including a RAG agent serving 50+ enterprise clients and an AI on-call assistant powered by LangChain & AWS Bedrock Claude 3.5.
Who I Am
I'm a Senior Software Engineer at VComply, building AI-driven SaaS products and cloud infrastructure at enterprise scale. Promoted to Senior within 12 months of joining.
My work sits at the intersection of AI engineering and cloud infrastructure. I've shipped 3 AI products into production - a RAG agent serving 50+ enterprise clients, an AI on-call debugging assistant, and internal automation tooling adopted company-wide.
Beyond shipping code, I lead a 5-engineer squad, own architecture decisions, and have driven infrastructure work across AWS and GCP - including a full AWS-to-GCP replication for an enterprise client with zero production downtime.
AI Systems
Production RAG pipelines, LLM integrations, and agentic systems with LangChain, LangGraph, and AWS Bedrock.
Cloud Infrastructure
Full-stack AWS and GCP expertise - Lambda, EC2, VPC design, IaC, and zero-downtime migrations.
Backend Architecture
Scalable, event-driven systems with Node.js, Python, SQS, MongoDB, PostgreSQL, and Redis.
Identity & Security
Multi-tenant SSO with Azure AD, Okta, SAML 2.0, OIDC, and SCIM - enterprise deployments secured end-to-end.
Work History
Senior Software Engineer
Promoted within 12 months- ▸Help Guide AI Agent: Built and shipped a production RAG system (LangChain + LangGraph + ChromaDB + Neo4j) orchestrated via AWS Bedrock Claude 3.5 Sonnet - deployed to 50+ enterprise users, reducing repetitive support queries.
- ▸VC Doctor: AI-powered on-call assistant integrated with Grafana; fetches CloudWatch logs from alert-triggered Lambdas and uses Bedrock Claude 3.5 to deduce root cause and suggest contextual fixes - accelerating incident triage.
- ▸Dev Dose: Internal Slack automation for category and frequency-based knowledge distribution, adopted by engineering and product teams company-wide.
- ▸Led full AWS to GCP infrastructure replication for a Dammam-based enterprise client - IaC, networking, and data migration with zero production downtime.
- ▸Designed multi-tenant identity architecture using AWS Cognito with Azure AD and Okta via SAML 2.0 and OIDC, enabling enterprise SSO and SCIM-based automated user provisioning.
- ▸Managed and mentored a 5-engineer squad across backend and infrastructure workstreams, owning sprint delivery and architecture decisions end-to-end.
- ▸Increased workflow throughput by 25% by redesigning synchronous pipelines into event-driven flows using AWS Lambda and SES.
- ▸Improved system reliability by 30% via Redis ElastiCache-backed caching and AWS infrastructure hardening.
Software Engineer
- ▸Built secure RESTful APIs with JWT-based authentication and RBAC, implementing request validation, rate limiting, and authorization middleware across multiple services.
- ▸Designed a scalable batch operations system using AWS SQS and Lambda with dead-letter queues and retry logic, processing 10K+ operations daily.
- ▸Reduced API response time by 15% through database query optimization, efficient indexing strategies, and connection pooling on MongoDB and PostgreSQL.
- ▸Established code review standards and conducted 50+ code reviews, identifying architectural improvements and enforcing best practices.
Software Engineering Intern
Converted to Full-Time- ▸Developed backend REST APIs in Node.js, wrote unit test suites, and participated in Agile sprints - offered a full-time role on completion.
AI Products in Production
3 AI systems shipped to production - not demos, not prototypes.
Help Guide AI Agent
Production RAG system · 50+ enterprise clients
End-to-end RAG system orchestrating LangChain, LangGraph, ChromaDB (vector store), and Neo4j (knowledge graph) via AWS Bedrock Claude 3.5 Sonnet. Deployed to production serving 50+ enterprise users - reducing repetitive support queries and improving resolution turnaround significantly.
VC Doctor
AI-powered on-call incident triage
AI on-call assistant integrated with Grafana alerting. On trigger, it fetches CloudWatch logs from the relevant Lambda, feeds them into Bedrock Claude 3.5, and returns a natural-language root cause analysis with contextual fix suggestions - cutting manual debugging effort significantly.
Dev Dose
Slack automation · Company-wide adoption
Internal Slack knowledge-distribution bot with category and frequency-based targeting. Intelligently routes curated engineering and product knowledge to relevant channels on a schedule. Adopted company-wide by engineering and product teams after a successful internal rollout.
Technical Skills
Core Proficiencies
Languages
AI / ML
Cloud - AWS
Cloud - GCP
Databases
Architecture
DevOps
Education
Master of Computer Applications (MCA)
Graduated with distinction and awarded the Gold Medal for academic excellence across the entire graduating class.
Bachelor of Computer Applications (BCA)
Core foundation in computer science, programming, algorithms, and mathematics.
Get in Touch
Let's build something exceptional
Open to senior engineering roles, AI systems consulting, and interesting challenges at the intersection of backend engineering and AI.
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I'll reply within 24 hours.