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AI Engineer with less than a year in GenAI & Machine Learning
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Highly motivated and skilled AI Engineer with 0.8 years of experience, specializing in GenAI, LLM optimization, and MLOps. Proficient in Python, Pytorch, and FastAPI, with a strong background in deploying and optimizing AI agents, building ETL pipelines, and enhancing model inference performance. Seeking to leverage expertise in scalable AI solutions and data engineering to drive impactful projects.
National Institute of Technology, Silchar
BTech · Electronics & Communication Engineering
August 1, 2021 – June 30, 2025
Star Public School, Khairthal, Raj
HSC
June 1, 2018 – May 31, 2020
USEREADY
Machine Learning Intern
September 1, 2025 – October 1, 2025
India
Valiance Solutions
LLM, Pytorch, Fastapi, VLLM
September 1, 2024 – September 1, 2024
India
AI Driven ETL Pipeline: Multi Agent pipeline for Postgres to Bigquery Migration
September 1, 2025 – October 1, 2025
Built an automated ETL AI Agent pipeline using CrewAI that fetches data from PostgreSQL, transforms it, validates schema, and loads it into Google BigQuery. Created custom agents and tools for fetch → transform → validate → load workflow, reducing manual data engineering effort by 80%. Designed the project to be plug-and-play by externalizing all sensitive configs (Postgres, BigQuery, Gemini API keys) into environment variables, reducing onboarding time for new developers.
View ProjectEnterprise RAG Chatbot - AI Systems Engineering Project
March 1, 2025 – April 1, 2025
Architected a scalable RAG integrating Milvus, FastAPI, Redis, and embedding models for low-latency semantic retrieval. Design and Implemented advanced AI components including persistent memory, multilingual query handling, metadata-aware retrieval, and Redis caching mechanisms. Developed document-processing and indexing workflows for (PDF, Docx, json) -based knowledge and containerized deployment using Docker.
View ProjectCultural Fit Analysis
The candidate's academic projects and internship experiences align well with an AI Engineer role, demonstrating a strong interest and practical application in the field. The diversity of projects, from RAG chatbots to ETL pipelines and LLM agent deployment, indicates adaptability and a broad skill set relevant to modern AI development. The focus on optimization and efficiency in their work aligns with a results-oriented culture. However, the candidate is still pursuing their bachelor's degree, which might indicate a need for mentorship and structured guidance in a professional setting.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to design scalable systems, optimize performance, and reduce manual effort, suggesting a problem-solving mindset and efficiency focus. The externalization of sensitive configurations in the ETL project points to an understanding of best practices for maintainability and developer onboarding. However, without direct assessment data, specific soft skills like teamwork, leadership, or stress handling cannot be definitively evaluated.