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Generative AI Engineer with 2+ years in LLMs & Agentic Systems
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Generative AI Developer with 2+ years of hands-on experience building intelligent, scalable applications using LLMs and agentic systems. Skilled in developing AI-powered workflows with LangChain, CrewAI, and Retrieval-Augmented Generation (RAG) using vector databases like FAISS and ChromaDB. Proficient in Python (FastAPI, Flask) and JavaScript frameworks (React.js, Next.js), with a strong focus on prompt engineering, autonomous agents, and AI automation. Experienced in integrating RESTful APIs and delivering end-to-end AI-driven solutions for real-world use cases.
Government Arts and Science College
M.Sc · Computer Science
August 1, 2021 – June 30, 2023
Manonmaniam Sundaranar University Constituent College
B.Sc · Computer Science
August 1, 2018 – June 30, 2021
Xerago
AI Engineer
March 1, 2026 – Present
Chennai, Tamil Nadu, India
GMIndia Pvt Ltd
Jr. Python Full Stack Developer
April 1, 2024 – February 28, 2026
Chennai, Tamil Nadu, India
Kadit Innovations
Python Full Stack Developer Intern
December 1, 2023 – April 30, 2024
Kadayanallur, Tamil Nadu, India
AI-Driven HR Management System
June 24, 2026 – Present
Built an end-to-end HR Management System to handle onboarding, leave, attendance, and employee self-service workflows. Developed an AI-powered HR assistant using LangChain and RAG for accurate, policy-grounded query resolution. Implemented vector-based document retrieval with FAISS/ChromaDB to prevent hallucinations and ensure reliable responses. Designed secure, modular backend APIs with role-based access control for HR operations. Automated HR workflows and notifications, reducing manual HR effort by over 50%.
ClickInsights – Conversational BI Platform
June 24, 2026 – Present
Built AI-driven analytics capabilities enabling business users to query enterprise data using natural language. Established backend services for dashboard generation, metadata management, and conversational reporting workflows, improving analytics accessibility by 45%. Integrated NLP-powered query orchestration mechanisms with analytics services, reducing manual query effort by 50%. Enhanced semantic-layer-driven analytics architecture supporting multiple enterprise data sources, improving reporting accuracy by 35%. Enabled self-service analytics through automated insight generation and interactive data exploration, reducing dependency on BI teams by 40%.
SkillMatch – Enterprise Resource Matching System
June 24, 2026 – Present
Engineered a scalable full-stack platform with React, Django, and PostgreSQL to optimize skill-based project staffing. Optimized relational schemas to boost matching accuracy by 30% and cut allocation delays by 50%. Crafted reusable Tailwind components with mobile-first styling and dark mode compatibility. Authored modular APIs for skill-matching logic, talent gap analysis, and team utilization, Boosted staffing alignment by 30%. Dockerized backend with CI/CD readiness using environment-based configurations.
MK Sri Builders – Construction Management Platform
June 24, 2026 – Present
Delivered a modular construction dashboard using React (frontend) and PHP (backend) powered by AI-assisted vibe coding workflows. Employed natural language prompts to rapidly generate and iterate UI modules, API endpoints, and DB logic. Assembled interactive modules for material tracking, daily updates, and vendor coordination using Tailwind CSS. Connected a MySQL backend for real-time, role-based project data handling. Accelerated release cycles by reducing manual coding through generative prototyping.
Agile Delivery AI Agent - Multi-Agent
June 24, 2026 – Present
Built a multi-agent CrewAI system to simulate Agile roles (PM, TPM, Designer, Engineer, Tester) for startup project delivery. Defined role-specific behavior with advanced prompt engineering, enabling context-aware collaboration. Enabled dynamic LLM coordination using Agent-to-Agent Protocol (A2A) and Model Context Protocol (MCP). Mapped LLMs to roles (e.g., GPT-4 for PM, Claude for docs, Code LLaMA for dev, Gemini for UX) for domain-optimized outputs. Automated the full Agile lifecycle from planning to testing reducing MVP cycle time by 60%.
Xeferral
June 24, 2026 – Present
Engineered backend modules for referral lifecycle management, campaign administration, reward allocation, and conversion tracking. Crafted secure APIs supporting tenant onboarding, referral attribution, analytics reporting, and campaign configuration, improving operational efficiency by 50%. Orchestrated referral tracking workflows from click and signup through conversion approval and reward distribution, increasing referral processing accuracy by 35%. Architected multi-tenant platform components supporting scalable SaaS deployments and improving tenant data isolation reliability by 40%. Streamlined campaign analytics and ROI reporting capabilities, reducing reporting turnaround time by 60%.
GMScan – Document Processing Platform
June 24, 2026 – Present
Built RESTful APIs in FastAPI (Python) for secure document ingestion, metadata parsing, and storage. Applied OAuth2 for login with Google, LinkedIn, Facebook, GitHub; made token/session workflows. Organized modular routers, async endpoints, and Pydantic schemas to support a clean architecture. Enforced robust error handling, validation, and logs, reducing runtime failures by 30%. Collaborated across teams using OpenAPI docs for efficient API consumption and testing.
AI-Powered HR Workflow Automation
June 24, 2026 – Present
Automated resume intake from email and web forms using n8n, triggering structured parsing workflows. Incorporated an AI parsing agent to extract candidate data and update Google Sheets/Excel in real-time. Triggered calendar invites and email notifications to automate interview scheduling, reducing manual HR workload by 60%. Simplified interview scheduling via email/calendar triggers, reducing HR workload by 60%. Enabled dynamic candidate status tracking with automated notifications to HR stakeholders. Organized resume and offer letter archives using Google Drive and Dropbox integration.
View ProjectJira Specialist AI Agent – Project Workflow Optimizer
June 24, 2026 – Present
Designed an LLM-powered tool Jira automation agent that parses project requirements to auto-generate structured Jira issues, including epics, tasks, and sub-tasks with proper hierarchy. Integrated Jira REST APIs with AI-powered parsing logic to map requirements into ticket templates based on priority, labels, dependencies, and sprints. Built a daily worklog analyzer that fetches team activity, identifies blockers, and uses LLMs to generate AI-driven suggestions to remove or mitigate those blockers. Automated Slack/Email updates with real-time blocker insights using LLMs, reducing average resolution time by 40% in Agile sprints. Deployed the agent within an Agile workflow to support standups, retrospectives, and sprint planning with real-time data from Jira and Git.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong alignment with the 'Generative AI Engineer' target role, showcasing diverse applications of AI, LLMs, and agentic systems across various business domains (HR, BI, project management). The breadth of technologies used (Python, FastAPI, Django, React, n8n, Docker, PostgreSQL, MySQL, MongoDB) indicates a versatile and adaptable individual. The focus on delivering tangible business value (e.g., reducing manual effort, improving accuracy) suggests a results-oriented mindset. The experience with multi-tenant SaaS platforms also points to an understanding of scalable, enterprise-level solutions.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong focus on problem-solving, efficiency improvements, and automation, which are critical for operational fit in an AI engineering role. The ability to work on diverse projects (HR, BI, resource matching) suggests adaptability. However, without direct assessment data, specific soft skills like teamwork or stress handling cannot be definitively evaluated.