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AI ML Engineer with less than a year in deep learning, computer vision & NLP
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 and Python Developer with hands-on experience in deep learning, computer vision, and NLP. Skilled in building and fine-tuning CNN, GAN, and LLM-based models. Passionate about delivering scalable, data-driven solutions for real-world problems.
KCG College of Technology
B.Tech · AI & Data Science
August 1, 2021 – June 30, 2025
Prince Matriculation HSS
Higher Secondary
N/A – May 31, 2021
Xerago
AI/ML Engineer Intern
December 1, 2025 – February 1, 2026
Chennai, Tamil Nadu, India
Mariyons Infotech
Python Developer Intern
September 1, 2024 – November 1, 2024
Chennai, Tamil Nadu, India
ReTech Solutions
Full Stack Developer Intern
June 1, 2023 – August 1, 2023
Chennai, Tamil Nadu, India
TB & COVID-19 Detection Using GANS
June 1, 2026 – Present
Fine-tuned CNN models on chest X-ray images to classify TB vs COVID-19; used GANs to generate synthetic training data, improving diagnostic accuracy. Employed CNNs, and real-time visualization (Matplotlib, Seaborn) to optimize model performance. Achieved scalable, low-latency deployment via Google Colab with CUDA acceleration for clinical usability.
Decision Assembly Platform (DAP)
June 1, 2026 – Present
Built an AI-driven platform that assembles structured, explainable decisions from multiple inputs using LLM reasoning and modular decision pipelines. Integrated LLMs to generate explainable and context-aware decision outputs. Applied prompt engineering techniques to enhance response relevance, consistency, and context-awareness.
Jewellery Shop Intelligence & Admin System
June 1, 2026 – Present
Developed a unified system combining business intelligence and admin management for jewellery shop operations. Implemented sales analysis, inventory tracking, and admin workflows using Python and SQL. Transformed raw business data into structured insights to improve operational efficiency and decision support.
Core/Advanced/Developer/MLOps/ML Practitioner
Dataiku
June 1, 2026 – Present
AWS Data Engineering
GUVI
June 1, 2026 – Present
Python with Math Skills
Coursera
June 1, 2026 – Present
Advanced Python
Fita Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships demonstrate a strong interest and commitment to the AI/ML domain, aligning well with an AI ML Engineer role. The diversity of projects (medical imaging, LLM platforms, business intelligence) shows adaptability and a broad application of AI skills. The certifications further indicate a proactive approach to learning and skill development, which is a positive cultural fit for a growth-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex problems and deliver data-driven solutions. Participation in agile sprints and peer code reviews suggests an understanding of collaborative development practices. The focus on 'explainable decisions' and 'context-aware outputs' in the DAP project highlights an awareness of practical application and user needs in AI.