AI Engineer with less than a year in AI/ML & Data Science
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Highly motivated AI & Machine Learning Engineer with 0.6 years of internship experience, currently pursuing a Bachelor of Engineering in Artificial Intelligence & Data Science. Proven ability to develop ensemble regression models, build multi-hop RAG systems, implement semantic segmentation models, and design deep learning pipelines for image classification. Proficient in Python, TensorFlow, PyTorch, and cloud platforms like AWS and GCP, with a strong foundation in data structures, algorithms, and mathematical concepts.
East Point College of Engineering & Technology
Bachelor of Engineering (BE) · Artificial Intelligence & Data Science
November 1, 2021 – July 1, 2025
Rooman Technologies Pvt Ltd
AI & Machine Learning Engineer (Intern)
October 1, 2024 – January 1, 2025
Bengaluru, Karnataka, India
Project MHOP | Advanced Multi-Hop Reasoning RAG System
December 1, 2025 – February 1, 2026
Built a LangChain-based multi-hop RAG system for complex query decomposition and grounded responses. Implemented hybrid retrieval (BM25 + vector search) with CrossEncoder reranking for high-precision relevance. Developed a FastAPI + Next.js inference platform with SSE streaming, deployed on Render and Vercel.
Lunar Surface Analysis | U-Net based Semantic Segmentation of Lunar Surface
July 1, 2025 – September 1, 2025
Built a U-Net segmentation model achieving 0.82 IoU for lunar surface feature detection. Applied preprocessing and augmentation to improve lunar terrain segmentation performance. Developed a FastAPI + Node.js inference platform for real-time lunar surface segmentation visualization.
DeepCell-3D | Deep Learning based 3D Visualization of WBC using Microscopic Imaging
November 1, 2024 – January 1, 2025
Built an end-to-end CNN pipeline for microscopic WBC classification achieving ~91-92% accuracy. Implemented image preprocessing and model inference to predict WBC types from uploaded images. Developed a Flask web application that displays predictions with interactive 3D cell visualization.
OCI 2025 AI Foundations Associate
Oracle University
October 1, 2025 – Present
AI for Lunar Exploration
Spartificial
February 1, 2024 – Present
Machine Learning Specialist Associate
IBM SkillsBuild
January 1, 2024 – Present
Data Analytics Professional
Google (Coursera)
June 1, 2023 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in diverse AI applications, from multi-hop reasoning to computer vision for medical and space applications. This breadth of interest, combined with an internship experience, suggests adaptability and a proactive learning attitude. The academic achievement of mentoring juniors also indicates a collaborative and knowledge-sharing mindset, which aligns well with a positive team culture.
Soft Skills & Operational Fit
The candidate lists problem-solving, analytical thinking, communication, team collaboration, and continuous learning as soft skills. These are essential for an AI Engineer role, especially in a collaborative and evolving field. The project descriptions indicate an ability to work on complex problems and deliver functional applications.