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AI Engineer with 5+ years in Generative AI & Full-Stack Development
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Software Engineer specializing in Generative AI and Agentic AI, with 5 years of experience at Accenture designing and deploying LLM-powered systems, AI agents, and RAG architectures. Proven expertise in GenAI, Prompt Engineering, FastMCP, multi-agent orchestration, vector databases (Pinecone, FAISS), and scalable AI pipelines on AWS and Kubernetes. Adept at integrating OpenAI APIs, applying MLOps best practices for model deployment in production. Passionate about building intelligent, workflow-automated systems that deliver measurable business impact.
Xavier Institute of Engineering
B.E. · Electronics & Telecommunication
June 1, 2017 – July 1, 2020
Accenture
Software Engineering Analyst | GenAI & Full-Stack
June 1, 2021 – Present
India
LLM-Driven Code Analysis & Tool Generation Platform
March 1, 2024 – June 1, 2026
Built an AI-powered system for reverse engineering source code automating generation of functional flows, pseudo-code, and architectural diagrams with hallucination reduction and model evaluation pipelines.
DevOps Marketplace Platform
July 1, 2021 – February 1, 2024
Designed and delivered a one-stop marketplace to select, integrate, and manage DevOps tools across multiple cloud environments with API integration and workflow automation.
AWS Cloud Practitioner Essentials & Cloud Quest Certified
AWS Training & Certification
November 1, 2025 – Present
Python Certification
Udemy
May 1, 2020 – Present
Automated System for Plant Health Monitoring & Disease Detection with Android App
IRJET
January 1, 2019 – Present
Cultural Fit Analysis
The candidate's experience in leading end-to-end development of complex AI platforms and their proactive approach to optimizing performance and reducing hallucinations align well with an innovative and results-driven culture. Their involvement in mentoring and cross-functional collaboration indicates a collaborative mindset. The diversity of projects (LLM-driven code analysis, DevOps marketplace) and breadth of skills (GenAI, full-stack, DevOps) suggest adaptability and a willingness to tackle varied challenges, which is a good cultural fit for dynamic environments.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their work on hallucination reduction and performance improvement. Their experience in mentoring and cross-functional collaboration suggests good communication and teamwork. The ability to streamline debugging workflows and document issues indicates a methodical and efficient operational approach.