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AI Engineer with 2+ years in Computer Vision, NLP & RAG systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with expertise in Computer Vision, Machine Learning, NLP. Proven track record developing ML-driven solutions achieving 90%+ accuracy for accessibility, automation, and predictive analytics. Expert in RAG, LangChain, TensorFlow, and LLM applications. Award-winning hackathon performer with published research and portfolio projects deployed on production platforms.
Francis Xavier Engineering College
B-Tech · Artificial Intelligence & Data Science (Minor: Business Analytics)
September 1, 2022 – April 1, 2026
Mahindra Research Valley
AI/ML Engineer Intern
February 1, 2026 – April 1, 2026
Chingleput, Tamil Nadu, India
Infosmifte
AI/ML Engineer Intern.
June 1, 2024 – February 1, 2026
Tirunelveli, Tamil Nadu, India
Quantanics TechServ
Data Analyst Intern.
January 1, 2024 – February 1, 2024
Madurai, Tamil Nadu, India
Marcello Tech
IoT & Embedded Systems Intern.
November 1, 2023 – December 1, 2023
Tiruchirappalli, Tamil Nadu, India
Vision Helmet
June 24, 2026 – Present
A voice-controlled AI-powered vision assistant designed for Blind People. Frank provides real-time visual description, reads text, recognizes faces, make voice calls and serves as an alternative to Smart glasses
View ProjectMr. Chinu AI Chatbot
June 24, 2026 – Present
Built an LLM-powered chatbot using LangChain and Python integrating CSV data sources with context-aware response generation; deployed on Streamlit
View ProjectAI Field Monitor
June 24, 2026 – Present
Real-time mango leaf disease detection using ESP32-CAM and TensorFlow Lite with 95% accuracy; includes automated pesticide recommendations
Voice-Controlled Wheelchair
June 24, 2026 – Present
Assistive technology: NLP (speech recognition), Computer Vision (object detection), Python-based motion control; 96% command recognition accuracy
View ProjectCold Mail Generator
June 24, 2026 – Present
LLM-powered Python application using LangChain; web scraping job postings and AI-generated personalized cold outreach emails; deployed on Streamlit
News Research Tool
June 24, 2026 – Present
RAG system (LangChain, Retrieval-Augmented Generation) extracting context from URLs with high accuracy; deployed on Streamlit with real-time data processing
Cultural Fit Analysis
The candidate's project diversity, ranging from assistive technology to enterprise data solutions, indicates a broad interest in applying AI to various domains. Their involvement in multiple internships and personal projects suggests a strong drive for learning and practical application, which aligns well with a dynamic, innovation-focused culture. The focus on AI/ML and Data Science aligns directly with the target role of an AI Engineer. The candidate's academic background and project achievements suggest a competitive and results-oriented mindset.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through diverse project work, including assistive technologies and real-time monitoring systems. Their involvement in hackathons and project development indicates initiative and a proactive approach. The descriptions suggest an ability to work on complex technical challenges and deliver functional solutions. However, without direct interview data, specific operational fit aspects like teamwork, communication style, and stress handling cannot be fully assessed.