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AI Engineer with less than a year in LLM-integrated applications and fullstack development.
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Assessing your cultural and operational fit
Aspiring Software Engineer with a strong foundation in Artificial Intelligence, Machine Learning, and Fullstack Development. Experienced in building LLM-integrated applications using LangChain and scalable agent frameworks. Skilled in Python, Java, and SQL. Eager to contribute to impactful AI and software engineering projects.
Sri Vasavi Engineering College
Bachelor of Technology · Computer Science Engineering (AI)
November 1, 2022 – June 1, 2026
Pragati Junior College
Intermediate
July 1, 2020 – June 1, 2022
Vasishta E.M School
SSC
March 1, 2019 – March 1, 2020
NIT-AP
NIT-AP Intern
May 1, 2025 – July 1, 2025
India
4SightAI
4SightAI Intern
July 1, 2024 – November 1, 2024
India
Resume Parser Using NLP and Machine Learning
June 1, 2026 – June 1, 2026
Developed an AI-powered resume parser to extract and categorize candidate information based on skills and qualifications. Integrated automated email notifications to inform recruiters of matched candidates and update applicants on their application status.
View ProjectSmartResearch Agent
June 1, 2026 – June 1, 2026
Developed a multi-agent research automation system that analyzes queries, gathers sources, and generates structured reports using LangGraph. Implemented agents for research planning, web search, retrieval, and report generation with Retrieval-Augmented Generation (RAG).
View ProjectFix My Ride – AI Vehicle Damage Detection and Cost Estimation
June 1, 2026 – June 1, 2026
Built an AI-driven vehicle damage detection and severity classification system using YOLO and OpenCV. Implemented ML-based repair cost estimation and automated insurance-ready PDF reports via a Flask web app.
RAG-Based Semantic Interview Bot
June 1, 2026 – June 1, 2026
Developed an AI-driven chatbot that answers interview-related queries by performing semantic search on a custom dataset using LLMs, LangChain, and ChromaDB. Built an interactive Gradio interface for real-time user interaction and integrated context-aware response generation using vector embeddings and retrieval techniques.
View ProjectPython Programming – CodeChef
CodeChef
June 1, 2026 – Present
SAP Certified Associate – Back-End Developer – ABAP Cloud
SAP
June 1, 2026 – Present
Cloud Virtual Internship Cohort 7, AICTE
AICTE
June 1, 2026 – Present
CODEXINTERN Virtual Internship — Python Development
Unknown
June 1, 2026 – Present
Cloud Computing – NPTEL
NPTEL
June 1, 2026 – Present
Data structures and Algorithms using Java – NPTEL
NPTEL
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from RAG-based chatbots to vehicle damage detection and resume parsing, indicates a broad interest in applying AI across different domains. The internships at 4SightAI and NIT-AP align well with an AI Engineer role, focusing on LLM solutions, multi-agent systems, and RAG. The breadth of skills listed (Python, Java, SQL, various AI/ML frameworks, web technologies) suggests a versatile individual eager to learn and contribute. The candidate's academic background in Computer Science Engineering (AI) further reinforces a strong cultural fit for an AI-focused role.
Soft Skills & Operational Fit
The candidate's involvement in extracurricular activities like Class Representative, Community Service Project, and Public Relations Head suggests good communication, leadership, and teamwork skills. The project descriptions are clear and well-structured, indicating good written communication. The candidate's ability to work on diverse projects (chatbots, research agents, damage detection) shows adaptability and a proactive approach to learning and applying new technologies. The internship experiences demonstrate an ability to contribute to AI workflows and application frameworks.