AI Engineer with less than a year in Generative AI & RAG
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AI Engineer with 10+ months of hands-on experience designing and deploying intelligent systems using Python, LangChain, LangGraph, TensorFlow, and FastAPI. Proven expertise in Generative AI, Retrieval-Augmented Generation (RAG), NLP, Large Language Models (LLMs), and full-stack ML pipeline development. Experienced building production-grade REST APIs, multi-agent orchestration systems, and vector-database-backed search platforms. Adept at translating complex business requirements into scalable, low-latency AI solutions.
Atria Institute of Technology (VTU)
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
St Aloysius Degree College
Bachelor of Computer Applications (BCA)
August 1, 2019 – June 30, 2022
GTechnoHubb Solutions
AI Engineer
August 1, 2025 – Present
Bengaluru, Karnataka, India
AiRobosoft
Full Stack Developer Intern
October 1, 2023 – December 1, 2023
Bengaluru, Karnataka, India
AI-Powered ATS Resume Scanner
January 1, 2025 – Present
Built a Generative AI-powered ATS scanner using Django and SentenceTransformers to semantically match resumes against job descriptions using embedding-based similarity. Implemented automated skill-gap detection and similarity scoring, improving resume-to-job alignment accuracy by 30% over keyword-based approaches. Analyzed 100+ resumes through an optimized batch processing pipeline with REST API endpoints for integration with HR workflows.
InfoChat AI Agent
January 1, 2025 – Present
Built a ChatGPT-style conversational AI agent for enterprise compliance querying, using a RAG pipeline over multi-format documents (PDFs, DOCX, CSV, Excel) with FAISS vector store and Groq-hosted Llama 3.3 for answer generation with cited sources. Engineered a LangChain agent with multi-tool orchestration, enabling structured and unstructured data reasoning across candidate records, policy documents, and audit evidence — supporting 10+ complex compliance query types.
WhatsApp Chat Analyzer
January 1, 2025 – Present
Designed NLP preprocessing pipelines for message cleaning, timestamp extraction, emoji parsing, and keyword extraction from raw WhatsApp exports. Built an interactive Streamlit dashboard featuring heatmaps, activity timelines, word frequency graphs, and emoji analytics for data-driven conversation insights.
Database Management System
NPTEL
June 1, 2026 – Present
Basic Python Course
Hope Foundation
June 1, 2026 – Present
Programming in Java
NPTEL
June 1, 2026 – Present
Web Development Bootcamp
Udemy
June 1, 2026 – Present
Java with Data Structures and Algorithms
Self-paced
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and professional experience align well with an AI Engineer role, showcasing a clear passion and focus on AI/ML technologies. The diversity of projects, from ATS scanners to conversational agents and text-to-SQL pipelines, indicates adaptability and a broad interest within the AI domain. The listed certifications, although future-dated, suggest a commitment to continuous learning. The candidate's experience with various tools and platforms (Git, GitHub, Docker basic, AWS basic) also points to a readiness for collaborative and modern development environments.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience demonstrate a strong problem-solving aptitude and an ability to translate complex business requirements into technical solutions. The focus on optimizing performance metrics (accuracy, latency, preprocessing time) indicates a results-oriented approach. The academic projects, while not directly operational, show initiative and a proactive learning attitude. The current role as an AI Engineer at GTechnoHubb Solutions further solidifies their operational fit for an AI Engineer role.