AI Engineer with 2+ years in Generative AI & Machine Learning
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AI/ML Engineer with expertise in Generative AI, AI Agents, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, Computer Vision, and Machine Learning. Skilled in building intelligent AI agents and autonomous workflows, developing scalable ML pipelines, and deploying production-ready AI applications, with a strong foundation in deep learning, NLP, and end-to-end AI system development.
MIT Academy of Engineering
B.Tech · Computer Science
August 1, 2019 – June 30, 2023
WebDataGuru
AI/ML Engineer
April 1, 2026 – Present
India
Vmukti Solutions
Jr. AI/ML Developer
May 1, 2024 – January 1, 2026
India
AI variant
Data Science Intern
July 1, 2023 – March 1, 2024
India
Intelligent Website Analysis Agent
October 1, 2025 – November 1, 2025
Built an autonomous AI Agent that scrapes websites and stores semantic embeddings in a vector database. Implemented a RAG-powered workflow for intelligent Q&A, summarization, and automated actions.
View ProjectOCR-based PDF Q&A RAG System
August 1, 2025 – September 1, 2025
Developed an OCR pipeline to extract text from scanned PDFs, enabling accurate information retrieval. Integrated Gemini LLM to create a conversational interface for querying static document data.
Plant Disease Identification
January 1, 2022 – March 1, 2023
Built a VGG16-based CNN model for plant disease classification, achieving high accuracy across multiple categories. Enabled early diagnosis and targeted treatment to improve agricultural productivity.
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for an AI Engineer role, evidenced by a diverse portfolio of AI/ML projects spanning Generative AI, Computer Vision, and traditional ML. Their professional experience at WebDataGuru and Vmukti Solutions shows a consistent focus on developing and deploying advanced AI solutions, indicating a passion for the field and a drive for innovation. The breadth of technologies and problem domains tackled suggests an ability to adapt and contribute across various technical challenges, which is valuable in dynamic environments.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience indicate strong problem-solving skills, an ability to work on complex, multi-faceted AI systems, and a focus on building scalable and robust solutions. The experience in multi-tenant architecture and secure API implementation suggests an understanding of operational requirements and system design principles. The diverse project portfolio also points to adaptability and a proactive approach to learning and applying new technologies.