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AI Engineer with less than a year in Generative AI & LLM Applications
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Aspiring AI Engineer with hands-on experience in Generative AI, Agentic AI, LLM Applications, and AI Automation. Skilled in developing AI agents, RAG pipelines, and production-ready AI solutions using Python, LangChain, LangGraph, and FastAPI.
MS RAMAIAH COLLEGE OF ARTS, SCIENCE, AND COMMERCE
Master of Computer Applications (MCA)
August 1, 2024 – June 30, 2026
PES INSTITUTE OF ADVANCED MANAGEMENT STUDIES
Bachelor of Computer Applications (BCA)
August 1, 2021 – June 30, 2024
Workfall
AI Developer Intern
May 1, 2026 – Present
Bengaluru, Karnataka, India
Sanskriti Labs
Backend Engineer Intern
October 1, 2025 – December 31, 2025
Bengaluru, Karnataka, India
Cranes Varsity
Machine Learning Intern
March 1, 2024 – April 30, 2024
Bengaluru, Karnataka, India
AI Voice Assistant
October 1, 2025 – June 1, 2026
Built an end-to-end agentic voice assistant using VAPI and FastAPI that converts unstructured speech inputs into structured database records, automating hospital appointment management and reducing manual data entry by ~70%. Implemented end-to-end workflow using Pandas and SQLite to ingest patient data and produce Excel insights, eliminating manual reporting and saving approximately ~3 hours/week. Designed an interactive Streamlit dashboard to visualize real-time doctor availability, appointment trends, and wait time analytics, demonstrating end-to-end data collection, processing, and visualization skills.
View ProjectSelf-Validating Quant Word-Problem Generator
October 1, 2025 – June 1, 2026
Architected a production-style multi-agent AI system comprising research, problem-generation, dual-solver, validation, and orchestration agents to autonomously generate and verify quantitative word problems, eliminating manual review across generated quiz sets. Integrated hallucination detection and mathematical correctness verification mechanisms, enabling accelerated validation of generated content and producing accuracy reports with zero manual intervention. Applied advanced agentic AI design patterns, prompt engineering, and LLM workflow orchestration to build a reliable, self-validating content generation pipeline.
View ProjectAI Research & Report Generation System
October 1, 2025 – June 1, 2026
Developed an autonomous multi-agent AI research platform using LangGraph and LangChain, orchestrating six specialized agents for planning, web research, content generation, fact-checking, and report assembly. Orchestrated an end-to-end research workflow integrating Tavily Search, LLM-powered summarization, credibility validation, and citation tracking to generate structured academic-style reports with AI-driven trust scoring. Delivered a production-ready application with FastAPI, Streamlit, Docker, and Render deployment, featuring real-time agent execution monitoring, interactive report navigation, and scalable AI workflow orchestration.
View ProjectParticipated in multiple national and college-level hackathons
Unknown
June 1, 2026 – Present
Machine Learning Using Python
Cranes Varsity
January 1, 2024 – Present
GitHub Essentials
Udemy
January 1, 2024 – Present
AI for Students: Build Your Own Generative Model
NxtWave
January 1, 2024 – Present
Cultural Fit Analysis
The candidate shows a strong interest and initiative in the AI domain, evidenced by numerous personal projects, relevant internships, and certifications. The diversity of projects (voice assistant, word problem generator, research system) indicates a broad application interest within AI. The pursuit of a Master's degree while gaining practical experience suggests a commitment to continuous learning and growth. The hackathon participation also points to a collaborative and competitive spirit. The profile aligns well with an innovative and fast-paced AI engineering environment.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving skills, attention to detail in verification mechanisms, and an ability to deliver end-to-end solutions. The hackathon participation suggests teamwork and ability to perform under pressure. The current AI Developer Intern role indicates a proactive approach to gaining relevant industry experience. However, without direct assessment data, specific soft skills like communication clarity, stress handling, or team collaboration cannot be definitively evaluated.