AI Engineer with 1+ years in Machine Learning & Computer Vision
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Highly motivated AI/ML enthusiast with 1.9 years of combined internship and project experience in Machine Learning and Computer Vision. Proven ability to develop and implement AI solutions, including RAG-based recommendation systems and object detection pipelines. Skilled in Python, deep learning frameworks, data engineering, and cloud platforms. Strong problem-solver with a collaborative and analytical approach to complex technical challenges.
KMEAEngineering College
Bachelor of Technology · Electronics and Communication
August 1, 2020 – June 30, 2024
Jama-Ath Res Pub School
Secondary School
June 1, 2018 – Present
Jama-Ath Res Pub School
Higher Secondary
June 1, 2018 – May 31, 2020
PropMarker
AI/ML Intern
March 1, 2026 – Present
India
Signal Semitech Pvt Ltd.
Project Trainee
August 1, 2024 – January 1, 2026
India
Hybrid RAG-Based AI Product Recommendation System
January 1, 2025 – December 31, 2025
Developed a Hybrid RAG-based AI system for intelligent product recommendations using retrieval and generative AI. Implemented vector similarity search with FAISS and semantic embeddings to retrieve contextually relevant products. Built an interactive Streamlit interface with MongoDB as the backend for product data storage and retrieval. Applied prompt engineering techniques to improve LLM response quality and recommendation relevance.
Focal Cortical Dysplasia Detection using 3D CNN
January 1, 2024 – December 31, 2024
Developed a 3D Convolutional Neural Network for automated detection of Focal Cortical Dysplasia using 3D neuroimaging data. Performed data preprocessing, model training, and evaluation to support accurate diagnosis. Implemented the model using Python and tested on platforms like Kaggle and Jetson Nano.
Real-Time Multiple Attendance Detection using Haar Cascade & LBPH
January 1, 2023 – December 31, 2023
Built a real-time facial recognition system for automatic attendance of multiple individuals. Used Haar Cascade for face detection and LBPH for face recognition. Implemented and tested the system on Raspberry Pi with live camera input.
Real-Time Population TrackingandPersonal Information Log using Haar Cascade and LBPH Image Processing.
Internation al Conference on Advancements in Power, Communication, and Intelligent Systems
June 1, 2026 – Present
Data & AI Expertise
Datakompany
September 1, 2025 – February 1, 2026
Artificial Intelligence
Infosys Springboard
January 1, 2024 – Present
Bootcamp on allied technologies for drones
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest in AI/ML through diverse academic projects (3D CNN for medical imaging, real-time facial recognition, RAG-based recommendation system) and internships (floorplan detection, customer analytics, wildlife monitoring). This breadth of application, combined with continuous learning through certifications, indicates a proactive and curious mindset. The involvement in team projects suggests an ability to collaborate. The focus on practical, real-world applications aligns well with an innovative and results-driven culture. However, the experience is primarily academic and internship-based, so adaptability to a fast-paced corporate environment needs further validation.
Soft Skills & Operational Fit
The candidate's resume highlights 'Problem Solving, Communication, Team Collaboration, Analytical Thinking' as soft skills. Project descriptions indicate individual and team-based work, suggesting an ability to collaborate. The academic projects and internships demonstrate a proactive approach to learning and applying new technologies, which is crucial for an AI Engineer role. However, without specific assessment data on these soft skills, a deeper evaluation of operational fit is limited.