Generative AI Engineer with less than a year in Agentic AI & RAG Pipelines
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Assessing your cultural and operational fit
Production-grade Agentic AI engineer who architected multi-tool LangGraph agents with cyclic reasoning, Multi-Document RAG pipelines with zero retrieval variance, and reduced chained LLM calls into single structured query cutting costs and hallucination at the architecture level. Skilled in Claude Code workflows and advanced Prompt Engineering.
Ganpat University
B.Sc.IT & M.Sc.IT · Data Science
September 1, 2021 – April 1, 2026
Communication Crafts
AI Engineer Intern
March 1, 2026 – Present
India
AMNEX Infotechnologies Pvt. Ltd.
Python Intern
February 1, 2024 – May 1, 2024
India
Omni Chat (An Infinite Tool AI Agent)
February 1, 2026 – February 1, 2026
Built an autonomous AI agent using LangGraph and Gemini 2.5 Flash with 8 integrated tools, enabling cyclic reasoning across multiple knowledge sources in a single conversation. Implemented a full RAG pipeline with local EmbeddingGemma 300M embeddings and ChromaDB, allowing users to upload PDF files and get citation-backed answers with source and page references, streamed in real-time via SSE.
Automated Machine Learning & Inference Pipeline
November 1, 2025 – November 1, 2025
Engineered an end-to-end AutoML White Box system that automates data ingestion, preprocessing, and model training, achieving 91.3% accuracy on benchmark classification test cases. Developed a custom Batch Prediction Module that allows non-technical users to upload raw Excel files, perform automated inference using pre-trained models, and download predictions (e.g., Churn Y/N, Expected Salary).
Real-Time Indian Sign Language Recognition
May 1, 2024 – May 1, 2024
Won 2nd Prize at Shodh Research & Shodh Shikhar International Conclave for building an ISL accessibility solution using Transfer Learning on SSD MobileNet V2, trained on a custom dataset of 1,600+ gesture images. Built a real-time OpenCV detection pipeline for live webcam feeds, establishing the proof-of-concept for low-latency edge deployment.
HR Analytics Dashboard
October 1, 2023 – October 1, 2023
Analyzed an HR dataset to identify key drivers of employee attrition, using Excel for data and Tableau for visualization.
2nd Prize at Shodh Research & Shodh Shikhar International Conclave for building an ISL accessibility solution
Shodh Research & Shodh Shikhar International Conclave
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from Generative AI agents to real-time computer vision and AutoML systems, indicates a broad interest in AI/ML domains. The internships demonstrate adaptability to different technical environments (client-facing RAG, agricultural data ETL). This breadth of experience and continuous learning aligns well with a dynamic, innovation-driven culture. The focus on optimizing costs and reducing hallucination in AI systems also suggests a practical, business-oriented mindset.
Soft Skills & Operational Fit
The candidate's project descriptions and internship experiences suggest a proactive, problem-solving attitude. The ability to identify and resolve data redundancy, optimize LLM calls, and develop fault-tolerant systems indicates strong operational fit and attention to detail. The award-winning project also highlights initiative and a drive for impactful solutions. However, without direct assessment data on communication or teamwork, these are inferred from the quality of work described.