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Data Science with 2+ years in LLM-based applications & AI systems.
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Postgraduate in Big Data Analytics with hands-on experience in building LLM-based applications, reinforcement learning pipelines, and end-to-end AI systems. Proficient in machine learning, deep learning, and computer vision, with strong expertise in Python, SQL, and backend integration. Adept at leveraging GenAI tools for real-world problem-solving and deploying scalable AI services.
Central University of Rajasthan
Masters in computer science · Big Data Analytics
December 1, 2021 – September 1, 2023
Mar Dionysius College (University Of Calicut)
Bachelor Of Computer Application
August 1, 2018 – June 30, 2021
L.F.C.G.H.S.S Mammiyoor
Higher Secondary Education
June 1, 2016 – May 31, 2018
L.F.C.G.H.S.S Mammiyoor
Senior Secondary Education
June 1, 2015 – May 31, 2016
NIIT FOUNDATION
DATA ANALYTICS AI TRAINER
October 1, 2024 – March 1, 2025
Bengaluru, Karnataka, India
PHN TECHNOLOGY Pvt.Ltd
(Internship)
April 1, 2023 – July 1, 2023
India
Automated Book Publication Workflow
June 24, 2026 – Present
Engineered an intelligent pipeline that automates end-to-end book publishing using LLM agents and reinforcement learning. Integrated AI-based Writer and Reviewer agents (OpenAI/Gemini), semantic content versioning with ChromaDB, human-in-the-loop feedback via Gradio, and reward-based optimization using grammar, uniqueness, and feedback scores. Deployed using FastAPI and Playwright-based scraping.
View ProjectChest Classification (DenseNet121 & Swin Transformer & Vit)
June 24, 2026 – Present
Implemented multi-class classification of congenital heart diseases (ASD, VSD, PDA, Normal) using ResNet50, InceptionV3, custom Vision Transformer, and Swin Transformer. Enhanced interpretability with Grad-CAM visualizations and validated model performance through confusion matrices and classification reports.
View ProjectRAG-CREWAI Agent System
June 24, 2026 – Present
Built a retrieval-augmented generation system powered by collaborating LLM agents. The pipeline intelligently routes queries between PDF-based semantic search and real-time web search. Integrated grading agents to validate results and a conversational agent to synthesize factual answers in a Streamlit interface.
View ProjectCultural Fit Analysis
The candidate's project portfolio demonstrates a strong interest and practical application in cutting-edge AI/ML domains, particularly Generative AI and Computer Vision. This aligns well with an innovative and research-oriented culture. The diversity of projects (medical imaging, LLM agents, RAG systems) shows adaptability and a broad technical curiosity. The experience as a trainer suggests a willingness to share knowledge and contribute to team growth. However, the limited professional experience outside of an internship and a recent trainer role means there is less direct evidence of long-term corporate cultural fit or extensive team collaboration in a product development setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a problem-solving mindset and an ability to integrate various technologies to build complete systems. The 'Automated Book Publication Workflow' project, in particular, highlights an understanding of complex system design, human-in-the-loop processes, and reward-based optimization, suggesting strong analytical and operational thinking. The trainer role at NIIT Foundation also implies good communication and mentorship skills, which are valuable for team collaboration.