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AI Engineer with less than a year in Agentic AI and RAG Pipelines.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring AI & Full Stack Engineer with hands-on experience building Agentic AI applications, RAG pipelines, back-end microservices, and REST APIs using Python, FastAPI, LangChain, LangGraph, PostgreSQL, Docker, and AWS. Passionate about developing production-ready AI solutions for real-world business problems.
Srinivas Institute of Technology, Mangalore
Bachelor of Engineering · CSE
August 1, 2022 – June 30, 2026
MindMatrix.io
Generative AI Intern
February 1, 2026 – May 31, 2026
India
KodNest
Full Stack Development
February 1, 2026 – May 31, 2026
India
Multimodal AI Assistant
January 1, 2026 – June 1, 2026
• Designed and developed an Agentic AI platform supporting multimodal document processing across PDF, image, audio, and video using FastAPI, LangChain, LangGraph, and PostgreSQL. • Built Retrieval-Augmented Generation (RAG) pipelines implementing document ingestion, OCR, semantic chunking, embedding generation, vector retrieval, and LLM-powered question answering. • Developed modular AI agents for summarization, quiz generation, flashcards, study notes, glossary generation, and workflow orchestration through LangGraph. • Architected scalable backend microservices integrating Gemini, OpenAI, and Ollama through a centralized LLM Manager while containerizing services with Docker for cloud-ready deployment.
View ProjectWellKart AI Try-On Platform
January 1, 2026 – June 1, 2026
• Developed an AI-powered commerce platform supporting product aggregation, virtual try-on, and personalized recommendations. • Built scalable REST APIs and microservices using Spring Boot, FastAPI, PostgreSQL, and Redis for AI-powered commerce workflows. • Designed a modular cloud-ready architecture for AI inference, caching, and third-party integrations.
View ProjectIT Specialist – Artificial Intelligence
Certiport
June 1, 2026 – Present
Python Essentials 2
Cisco
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects demonstrate a strong interest in developing innovative AI solutions for real-world problems, aligning well with a forward-thinking and impact-driven culture. The diversity of projects (multimodal AI assistant, AI try-on platform) and the blend of AI/ML with full-stack development skills suggest a versatile individual who can contribute across different aspects of a product lifecycle. The pursuit of certifications and research paper publication indicates a commitment to continuous learning and growth.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving attitude, particularly in designing scalable and modular AI solutions. The experience in both Generative AI and Full Stack Development suggests adaptability and a broad technical perspective. However, without direct interview data, specific soft skills like teamwork, leadership, or communication in a collaborative setting cannot be fully assessed.