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AI Engineer with 1+ years in Generative AI & Computer Vision
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Analytical AI Developer with a B.Tech in ECE and extensive experience in the full machine learning lifecycle. Expert in building high-performance data pipelines using NumPy and Pandas, and deploying predictive models with Scikit-Learn. Proven track record in developing Generative AI solutions (RAG, OpenAI) and Computer Vision systems (YOLOv8). Specialized in transforming complex datasets into production-ready AI applications using Flask and REST APIs.
Narayana Engineering College
B.Tech · Electronics and Communication Engineering (ECE)
N/A – June 30, 2025
Sri Vivekananda Junior College
Intermediate
N/A – May 31, 2021
New Infant Jesus EM High School
10
N/A – May 31, 2019
Coding Jr (Code4Bots Technologies Pvt Ltd)
AI Intern
May 1, 2025 – August 1, 2025
India
AISPRY
Data Scientist Intern
January 1, 2025 – February 1, 2026
India
NLP Coding Agent
May 1, 2025 – August 1, 2025
Developed a Flask backend service that generates full project codebases and installation commands, returning the output in JSON format. Built a Retrieval-Augmented Generation (RAG) pipeline using a vector database to search and retrieve relevant framework embeddings (e.g., React, Angular, Flask). Integrated the LLM to process user prompts alongside the retrieved context for accurate, dynamic code generation.
AI-Driven Sperm Quality and Selection
January 1, 2025 – February 1, 2026
AI Sperm Quality Analyzer: Developed a Computer Vision pipeline using YOLOv8 to automate the detection and morphological analysis of sperm to reduce interobserver variability. Technical Implementation: Built a full-stack solution with a Flask API and Streamlit frontend to process microscopy videos, achieving accuracy in tracking biological parameters like VCL and head/tail dimensions. Business Impact: Optimized selection processes to target a 10% increase in IVF success rates and a 25% reduction in treatment costs by filtering for high-grade embryos.
Flask and Spring Boot Web Application Generation using OpenAI
January 1, 2025 – June 1, 2026
Developed a full-stack application that generates complete web projects (Flask/Spring Boot) based on a user-provided prompt. Utilized OpenAI APIs with Python to interpret user requirements and dynamically generate code files and folder structures locally. Implemented functionality to dynamically run the generated projects, demonstrating a full development lifecycle from prompt to execution.
Python Programming Course
360DigiTMG
June 1, 2026 – Present
Basic Course on SQL
360DigiTMG
June 1, 2026 – Present
Data Scientist Completion Certificate - AiSPRY
AiSPRY
February 1, 2026 – Present
AI Internship Completion Certificate - Coding Jr
Code4Bots Technologies Pvt Ltd
August 1, 2025 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest and practical experience in AI and machine learning, aligning well with an 'AI Engineer' role. The mix of professional and personal projects, along with internships, indicates initiative and a proactive learning approach. The breadth of technologies used (Python, Flask, various LLMs, vector databases) suggests a willingness to explore and integrate new tools. The focus on developing end-to-end AI applications, from model development to deployment, shows a holistic understanding relevant to a product-oriented environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to translate complex technical requirements into functional solutions and an understanding of business impact. The diversity of projects suggests adaptability and a problem-solving mindset. However, without direct assessment data on collaboration, stress handling, or work attitude, a comprehensive evaluation of soft skills and operational fit is limited.