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Generative AI Engineer with less than a year in Python & LLM-powered solutions
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B.Tech Data Science graduate with hands-on experience building and deploying Generative AI applications using Python, LangChain, RAG pipelines, FAISS, and Groq API. Built an AI-powered Resume Screening System and a YouTube Video Analyzer deployed on AWS EC2 with LLM observability using Langfuse. Published projects on Hugging Face Spaces. Seeking an entry-level AI Engineer or Python Developer role with a focus on building LLM-powered solutions using LangChain, RAG pipelines.
St. Ann's College of Engineering and Technology
Bachelor's of Technology · Data Science
August 1, 2022 – June 30, 2026
Innomatics Research Labs
Generative AI Program
N/A – June 30, 2026
SmartBridge Educational Services Pvt Ltd.
Google Cloud Generative AI
January 1, 2026 – March 1, 2026
India
Aimers Society
Artificial Intelligence
October 1, 2025 – December 1, 2025
India
AI-Powered Resume Screening System
January 1, 2026 – June 1, 2026
Built a RAG-powered ATS Resume Screener using Python, LangChain, and FAISS to automate resume-to-job matching. Parsed PDF resumes with PyPDF2, chunked the text, and stored embeddings in FAISS for semantic search. Built a retrieval pipeline using the Job Description as a query to fetch the most relevant resume chunks. Integrated Gemini API with Pydantic schemas to generate a structured, accurate ATS match score. Tested the system with multiple resumes and job descriptions to verify accurate and relevant ATS scoring.
View ProjectAI-powered YouTube Video Analyzer
January 1, 2026 – June 1, 2026
Built an AI-powered YouTube analyzer that extracts transcripts and generates structured insights, saving ~70% review time. Deployed the application on AWS EC2 and configured environment variables for reliable deployment. Integrated Langfuse for LLM tracing to monitor prompt tokens, latency, and chain execution. Built prompt-engineering workflows using LangChain and Groq's Llama-3.1-8B-Instant model. Implemented sentiment analysis on engagement metrics (likes, views, comments) and visualized insights with Streamlit.
View ProjectBanking Management System
January 1, 2026 – June 1, 2026
Developed REST APIs using FastAPI for account creation, deposits, withdrawals, and balance inquiries. Integrated MySQL database to store and manage customer account data using CRUD operations. Tested and documented all API endpoints using Swagger UI to ensure reliability and ease of testing. Implemented input validation and error handling to manage invalid transactions and edge cases. Built an interactive Streamlit dashboard for users to perform banking operations through a simple UI.
Artificial Intelligence
Internship
June 1, 2026 – Present
Cloud Computing
NPTEL
June 1, 2026 – Present
Python
NPTEL
June 1, 2026 – Present
IoT
NPTEL
June 1, 2026 – Present
Generative AI
Internship
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects are diverse within the AI/ML domain, showcasing an interest in various applications of Generative AI. The internships further align with the target role of Generative AI Engineer. The breadth of skills listed (Python, SQL, various AI/GenAI tools, cloud, observability, frameworks) indicates a willingness to learn and adapt, which is positive for cultural fit. However, the experience level is entry-level, which might require more mentorship in a senior role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical tasks independently. The focus on building complete applications, including deployment and monitoring, suggests a practical, results-oriented approach. However, without direct assessment data, it is difficult to evaluate collaboration, stress handling, or communication clarity in a team setting.