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/ghost Aspiring AI Engineer with hands-on experience building and deploying AI-powered applications using LLMs, NLP, embeddings, and Generative AI. Skilled in Python, Flask, FastAPI, LangChain, React, and SQL, with experience developing real-world projects such as AI-driven career recommendation systems and multi-agent evaluation frameworks. Passionate about solving practical problems through AI and continuously learning emerging technologies.
Kalasalingam Academy Of Research And Education
B.Tech · Computer Science
July 10, 2022 – April 7, 2026
Agent Eval Lab – Multi-Agent LLM Evaluation System
January 4, 2026 – Present
Agent Eval Lab is a multi-agent LLM evaluation framework designed to assess the reliability of AI-generated code. The system uses a collaborative workflow where a Generator Agent creates PyTest test cases and a Reviewer Agent validates their quality, requesting regeneration when necessary. To measure performance objectively, an automated evaluation harness runs the agent pipeline against a curated benchmark of Python functions and scores outputs based on syntax correctness, test coverage, assertion quality, and PyTest compliance. The framework also detects and logs common LLM failure modes such as hallucinated imports, missing assertions, truncation, context drift, and tool-use errors. Built with a focus on trust, reproducibility, and rigorous evaluation, Agent Eval Lab enables systematic benchmarking of coding agents and helps identify weaknesses before deploying LLM-powered development workflows.
View ProjectSkill Ladder – Intelligent Career Development System
July 13, 2025 – April 7, 2026
Skill Ladder is a full-stack AI-powered platform designed for both job seekers and recruiters, helping connect talent with the right opportunities. Unlike traditional keyword-based systems, it analyzes resumes using NLP and AI, identifies skill gaps, and provides personalized job recommendations along with relevant learning resources based on a candidate's actual profile and career goals.
View ProjectAI for data analytics and power BI
Infosys Spring Board
March 27, 2026 – Present
Python
oneroadmap
December 26, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in AI/ML, particularly in areas like career development and LLM evaluation, which aligns well with an 'AI Software Engineer' role. The diversity of projects (NLP for job matching, multi-agent LLM evaluation) and the inclusion of certifications show a proactive learning attitude and a broad interest within the AI domain. The hackathon win and publication also suggest a drive for innovation and contribution, which are positive indicators for cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights problem-solving, communication, team collaboration, adaptability, and time management as soft skills. The project descriptions suggest an ability to work on complex, multi-faceted problems and deploy solutions, which aligns with operational needs. The hackathon win and publication also indicate a collaborative and results-oriented mindset.