AI/ML Engineer with 3+ years in Machine Learning, AI, and Data Science.
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Machine Learning Engineer with hands-on experience in developing AI-driven applications, predictive models, and scalable data solutions using Python, SQL, and machine learning frameworks. Skilled in exploratory data analysis, feature engineering, model optimization, and API-based system development. Currently working as an AI Research Intern, focusing on building RAG-based AI agents, workflow automation, and intelligent backend systems using FastAPI, LangChain, and LangGraph. Passionate about applying machine learning and data-driven approaches to solve real-world challenges in intelligent mobility, localization, and next-generation automotive technologies.
Rajagiri School of Engineering and Technology
Bachelor of Technology · Mechanical Engineering
August 1, 2018 – July 1, 2022
Talks & Talks Technologies Ltd
AI Research Intern
January 1, 2026 – Present
UK
Luminar Technolab Pvt Ltd
Data Science Intern
July 1, 2025 – February 1, 2026
Kozhikode, Kerala, India
Malabar Group
Junior Engineer
December 1, 2023 – July 1, 2025
Hyderābād, Telangana, India
Smart AI Shopping Assistant
February 1, 2026 – Present
Developed an AI-powered shopping assistant integrating computer vision for real-time product detection and user identification. Implemented YOLOv8 for object detection and face recognition to enable personalized, context-aware interactions. Built a RAG-based system leveraging LLMs for natural language understanding and generating health-aware, personalized product recommendations.
View ProjectNext-Day Rain Forecasting Model
December 1, 2025 – Present
Conducted full EDA and feature engineering on imbalanced meteorological datasets to identify predictive patterns and anomalies. Built and evaluated multiple classification models; achieved 75% accuracy using Logistic Regression with optimized recall for rare rainfall events. Developed an interactive Streamlit dashboard for real-time data visualization and model performance tracking.
View ProjectObesity Level Prediction Model
July 1, 2024 – Present
Analyzed lifestyle and behavioral datasets through extensive EDA, data cleaning, and feature engineering to uncover key predictive trends. Achieved 97.36% accuracy using Random Forest and Decision Tree models with full pipeline from data preparation to model evaluation. Built a Power BI dashboard to visualize key insights and communicate findings to non-technical stakeholders.
View ProjectCertification in Data Science and Machine Learning
Illinois Institute of Technology, US
June 1, 2026 – Present
Databricks Fundamentals Accreditation
Databricks
June 1, 2026 – Present
Excel Skills For Business : Essential
Coursera
June 1, 2026 – Present
Introduction To Tableau
Simplilearn
June 1, 2026 – Present
SQL Intermediate Certification
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from AI shopping assistants to weather forecasting and obesity prediction, shows a broad interest in applying AI/ML to various domains. The current AI Research Intern role and previous Data Science Intern role align well with the AI/ML Engineer target role, indicating a clear career trajectory. The breadth of skills across data science, machine learning, and AI agent systems suggests adaptability and a willingness to learn new technologies, which is positive for cultural fit in a dynamic environment.
Soft Skills & Operational Fit
The candidate demonstrates analytical thinking, problem-solving, and data-driven decision-making through project descriptions. Collaboration is mentioned in the Junior Engineer role. The ability to build interactive dashboards and communicate findings to non-technical stakeholders indicates good operational fit and communication skills for presenting technical work.