B.Tech graduate in Artificial Intelligence and Data Analytics with strong foundational knowledge in machine learning, deep learning, and Gen AI.
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Sri Ramachandra Faculty of Engineering and Technology
Data Scientist
June 21, 2026 – Present
GPT5_PromptBuilder
September 30, 2025 – September 30, 2025
A Flask-based service that transforms short user requests into detailed, structured prompts optimized for GPT models (GPT-5, GPT-4o-mini, GPT-3.5). Automatically expands inputs into sections like Role, Task, Context, Reasoning, Output Format, and Step Conditions. Ideal for developers, researchers, and high-quality prompt engineering
View ProjectHybridObjectCounter
September 30, 2025 – September 30, 2025
A FastAPI-powered system that combines YOLOv8 object detection and LLaVA Vision LLM to accurately count objects in images. Features dual validation, consensus detection, synonym merging, real-time web UI, REST API, and production-ready logging & analytics.
View ProjectRAG_Chatbot_With_TinyLlama
April 30, 2025 – April 30, 2025
This project is a fully working Retrieval-Augmented Generation (RAG) chatbot using Hugging Face's TinyLlama model and FAISS vector search
View ProjectBladder_Cancer_Staging_Classification
April 21, 2025 – April 23, 2025
CT-Based Bladder cancer subtyping classification using 3 different Models
View ProjectKidney-Disease-Detection-using-Deep-Learning
December 5, 2024 – December 5, 2024
This project is about detecting Kidney Disease with deep learning techniques
View ProjectReal-Time-Hand-Count-Detection
December 5, 2024 – December 5, 2024
Created a real-time hand count detection using Opencv and mediapie library
View ProjectGender_Classification_Using_Voice
December 5, 2024 – December 5, 2024
we have created a model which classify the gender based on the voice data
View ProjectWordEmbedding_CBOW
June 26, 2024 – June 26, 2024
Continuous Bag-of-Words (CBOW) model for generating word embeddings
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong individual initiative and a passion for exploring diverse areas within AI/ML. However, all projects are personal, and there's no information on team collaboration or contributions to open-source/community projects. The listed 'experience' is a future role, indicating no current professional cultural fit data. The diversity of projects suggests an eagerness to learn and adapt, which could be a positive cultural fit, but this is speculative without more data.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience level is listed as 0, and the only listed 'experience' is a future start date, suggesting a lack of professional work history. Project descriptions are brief, limiting insight into collaboration or problem-solving approaches.