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AI Engineer with 2+ years in Machine Learning & Full-Stack Development
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Highly skilled and motivated Computer Science and Engineering student with 2.7 years of experience as a Research Intern at IIT Tirupati, specializing in Machine Learning, Object Tracking, and Data Hiding. Proficient in Python, JavaScript, MERN stack, and various AI/ML frameworks. Strong background in competitive programming and a proven ability to develop and deploy full-stack applications and AI systems, demonstrated through multiple impactful projects.
Indian Institute of Information Technology Senapati
Bachelor of Technology · Computer Science and Engineering
N/A – June 30, 2026
IIT Tirupati (Online)
Winter Research Intern
October 1, 2023 – June 30, 2026
Imphal, Manipur, India
Conflict-Aware Graph RAG
January 1, 2026 – June 30, 2026
Implemented a graph-based Retrieval-Augmented Generation pipeline that converts unstructured text into structured (entity-relation-entity) triples using LLM-based extraction. Built a Neo4j knowledge graph and designed query-aware reasoning path retrieval with Ref(p) scoring to prioritize semantically relevant evidence. Developed an entropy-based conflict detection module (H analysis) to compare parametric and graph-augmented responses, reducing factual inconsistencies. Engineered structured reasoning context (Cp.Ce.Cr) and temporal-aware ranking to improve answer faithfulness over baseline vector RAG systems. Planned upgrades include token-level entropy computation and embedding-based similarity retrieval for full research-grade reproduction.
AI Crop Disease Detection System
August 1, 2025 – June 30, 2026
Built a CNN-based crop leaf disease classifier with transfer learning, achieving 92 percent accuracy. Executed data preprocessing and augmentation using OpenCV to improve robustness on real-world images. Deployed the model via a web interface for instant disease identification and treatment guidance. Enhanced deployment efficiency using model compression and TensorFlow Lite.
BedsNBucket
January 1, 2025 – June 30, 2026
Built a full-stack MERN platform for seamless product/service booking with secure payments via Razorpay. Deployed as a Progressive Web App (PWA) with offline access, high performance, and responsive UI. Optimized for scalability and daily automation with cloud-based deployment. Admin dashboard allows role-based access, with functionality to add/edit/delete products and manage orders
Cultural Fit Analysis
The candidate's diverse personal projects (full-stack MERN, AI crop disease, graph RAG) and research internships indicate a proactive, self-driven individual with a strong interest in cutting-edge AI technologies. The competitive programming achievements suggest a highly motivated and results-oriented individual. This aligns well with a culture that values innovation, continuous learning, and technical excellence. The focus on AI/ML and deep learning is a strong fit for an AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical and problem-solving skills through competitive programming achievements and research internships. The project descriptions indicate an ability to work on complex, multi-faceted problems. However, without direct interview data, assessing collaboration, stress handling, and communication clarity in a team setting is difficult.