AI Engineer with 1+ years in Machine Learning & Generative AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated AI/ML enthusiast with expertise in Python, machine learning, and deep learning frameworks. Experienced in developing end-to-end AI solutions, including RAG-based systems, object localization, and natural language processing. Skilled in data engineering, cloud platforms, and prompt engineering, with a strong foundation in collaborative development and problem-solving. Continuously learning and applying cutting-edge AI techniques to deliver impactful projects.
KMEA Engineering College
Bachelor of Technology · Electronics and Communication
August 1, 2019 – June 30, 2023
Gov.H.S.S
Higher Secondary
N/A – May 31, 2018
St. Thomas G.H.S.
Higher School
N/A – May 31, 2016
PropMarker
AI/ML Intern
July 1, 2024 – June 1, 2025
India
Signal Semitech Pvt Ltd
Project Engineer Trainee
July 1, 2023 – December 1, 2023
India
RAG-Based AI E-commerce Product Recommendation System
June 1, 2023 – June 1, 2026
Developed a RAG-based AI recommendation system for e-commerce that retrieves relevant product data and generates personalized suggestions using Large Language Models (LLMs). Leveraged LLMs to understand user queries, analyze product features, and provide context-aware recommendations, improving search relevance and user experience. Platform and Tools: Python, vector databases, MongoDB, LLM APIs, and frameworks like LangChain, implemented using VS Code.
RAG-BASED AI CHATBOT
June 1, 2023 – June 1, 2026
Developed a Retrieval-Augmented Generation (RAG) chatbot that enables intelligent question answering from custom documents using semantic search and LLM-powered responses. Integrated document processing, vector embeddings, and retrieval pipelines to deliver accurate, context-aware responses grounded in retrieved content. Platform and Tools: Python, LangChain, ChromaDB, Hugging Face Transformers Groq API, Streamlit, RAG, and Vector Embeddings.
Stereo Vision System For Object Localization
June 1, 2023 – June 1, 2026
Developed a stereo vision-based object localization system using dual cameras to estimate the 3D position of detected objects through triangulation techniques. Integrated computer vision models to detect objects and compute parameters such as azimuth, elevation, and distance for accurate spatial mapping. Platform and Tools: Python, OpenCV, YOLO, NumPy, and camera calibration techniques, implemented and tested in a real-time environment.
A Deep Learning System For Sign Language Translator Using Raspberry PI
June 1, 2023 – June 1, 2026
Developed a deep learning-based sign language translator using Raspberry Pi to recognize hand gestures through image processing techniques. Implemented models to interpret sign language in real time and convert recognized gestures into both text and speech outputs. Platform and Tools: Python, OpenCV, deep learning frameworks, Raspberry Pi, and text-to-speech modules, VS CODE.
DataKompany AI Expertise Class
DataKompany
June 1, 2024 – Present
Python Full stack course
Inmakes Infotech
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong interest and initiative in AI/ML, particularly in cutting-edge areas like RAG and LLMs. The diversity of projects (e-commerce, chatbots, computer vision, embedded systems) indicates a broad technical curiosity and willingness to explore different domains, which aligns well with an innovative and growth-oriented culture. The internship experience at PropMarker and Signal Semitech, along with team-based project descriptions, suggests an ability to collaborate and contribute effectively within a professional setting. The candidate's continuous learning through certifications further reinforces a proactive and adaptable mindset, which is a good cultural fit for fast-evolving tech environments.
Soft Skills & Operational Fit
The candidate demonstrates problem-solving, analytical thinking, team collaboration, adaptability, and quick learning through project descriptions and internship roles. These soft skills are crucial for an AI Engineer role, especially in dynamic environments requiring iterative development and cross-functional teamwork. The candidate's ability to work on diverse projects, from e-commerce recommendations to stereo vision, indicates a strong operational fit for roles requiring versatility and continuous learning.