AI/ML Engineer with 1+ years in Machine Learning & GenAI Development
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AI & Deep Learning Engineer with hands-on experience in ML model training, fine-tuning, deployment, and GenAI application development. Skilled in RAG pipelines, ASR systems, and data-centric AI. Experienced in training IT professionals and students on GenAI and Data Science.
United Institute of Technology
M.E. · Artificial Intelligence & Data Science
August 1, 2024 – June 30, 2026
KGISL Institute of Technology
B.Tech · Artificial Intelligence & Data Science
August 1, 2020 – June 30, 2024
Qtree Technologies
GenAI & Data Science Trainer (Part-Time)
March 1, 2026 – Present
Coimbatore, Tamil Nadu, India
EmTarang TechLabs Pvt. Ltd. (Logituit™)
Software Engineer – AI / Machine Learning
February 1, 2025 – December 1, 2025
India
EmTarang TechLabs Pvt. Ltd. (Logituit™)
Software Engineer Trainee – AI / Machine Learning
November 1, 2024 – February 1, 2025
India
Geospatial Social Network Analysis
June 24, 2026 – Present
Analyzed geospatial data with ML techniques to extract actionable insights for strategic decision-making.
AI Career Copilot
June 24, 2026 – Present
Built an intelligent web-based career platform with 5 modules: ATS Resume Analyzer, Job Matcher, Cover Letter Generator, Interview Prep Kit, and RAG-powered Career Q&A Chatbot. Implemented RAG-lite using FAISS + all-MiniLM-L6-v2; avg response time < 12s; user rating 4.7/5.0.
Attendance Monitoring using Face Recognition
June 24, 2026 – Present
Automated attendance using facial recognition with ML frameworks to enhance accuracy and streamline tracking.
AWS Cloud Foundations
AWS Academy
June 1, 2026 – Present
Machine Learning
IBM
June 1, 2026 – Present
AI Fundamentals
Microsoft
June 1, 2026 – Present
Cloud Architecture
IBM SkillsBuild
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's background in both academic study and practical application of AI/ML, coupled with experience in training, suggests a proactive and learning-oriented individual. Their involvement in diverse projects like 'AI Career Copilot' and 'Attendance Monitoring' indicates a broad interest in applying AI to various domains. The part-time trainer role also highlights a collaborative and knowledge-sharing mindset, which aligns well with a culture that values continuous learning and mentorship. The certifications in AWS, IBM, and Microsoft also show a commitment to professional development and staying current with industry trends.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through personal projects and a part-time training role. Their experience in end-to-end ML workflows and data-centric AI suggests a methodical and problem-solving approach. The training experience indicates good communication and mentorship potential, which are valuable for team collaboration and knowledge sharing. The project diversity shows adaptability and a willingness to tackle different AI challenges.