AI Engineer with 8+ years in Generative AI & Distributed Systems
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Assessing your cultural and operational fit
AI Engineer & Full-Stack Architect with 8 years of experience building production-grade distributed systems. Specialist in Generative AI, Autonomous AI Agents, Agentic AI architectures, LLM Applications, multi-agent orchestration (LangGraph and LangChain), and Knowledge Graphs & Graph RAG. Expert at transitioning AI from Prototype Hell to stable, revenue-positive production environments by architecting event-driven backends using Node.js and the Serverless Framework (AWS). Focused on RAG, Prompt Engineering, cost optimization, and reliability integrated with high-performance React and Next.js interfaces.
Anna University
Bachelor of Engineering (B.E.) · Computer Science
N/A – June 30, 2018
Forzo Techlabs
AI Engineer
April 1, 2024 – Present
USA
Forzo Techlabs
Senior Software Engineer
October 1, 2021 – March 31, 2024
USA
Edlocus Solutions Private Limited
Software Engineer
October 1, 2018 – September 30, 2021
India
Forzo Flow | AI-Native Content Creation SaaS
June 11, 2026 – Present
Built AI content automation platform using LangGraph, autonomous AI agents, React 19 and Next.js. Designed async engine (SQS) reducing content delivery time by 21%.
Carboventory | AI-Powered Sustainable Asset Management
June 11, 2026 – Present
Architected multi-tenant SaaS platform with AI assistant. Built async ingestion pipeline (S3, SQS, Lambda) for large-scale data.
Carbalyze | Enterprise Carbon Accounting Platform
June 11, 2026 – Present
Led end-to-end architecture of carbon accounting system. Built LangGraph-based Multi-Agent Systems, Autonomous AI Agent assistant for emission automation.
Cultural Fit Analysis
The candidate's project diversity, ranging from AI-native content creation to sustainable asset management and carbon accounting, indicates adaptability and a broad interest in applying AI solutions across different domains. Their experience in both AI Engineer and Senior Software Engineer roles at Forzo Techlabs, a company focused on AI, shows a strong alignment with an AI-centric culture. The breadth of skills, including both AI/ML and full-stack development, suggests a versatile team player capable of contributing across the stack. The detailed problem/solution/result format in the case studies implies a structured and analytical approach, which is beneficial for collaborative environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through detailed engineering case studies (e.g., eliminating Lambda timeouts, optimizing CI/CD, solving Lambda size limits). Their experience in leading development, architecting systems, and optimizing costs suggests a proactive and results-oriented work attitude. The focus on fault-tolerance and 99.9% availability indicates a strong operational mindset. The descriptions are clear and highlight significant impact, suggesting good communication of technical achievements.