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AI Engineer with less than a year in Agentic AI and LLM systems.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Agentic AI Intern building production-deployed multi-agent LLM systems using LangChain, LangGraph, and Amazon Bedrock. Developed an AI Medical Report Interpreter with 10 specialized agents across dual clinical dashboards, Vision AI extraction, and AWS EC2 deployment. Foundational background in supervised ML, RAG-based retrieval, and end-to-end data workflows.
SIES College of Commerce and Economics
Master of Science (M.Sc.) · Data Science
August 1, 2022 – April 1, 2024
Signiance Technologies LLP
Agentic AI Intern
February 1, 2026 – Present
Rajkot, Gujarat, India
AI Powered Sales Call Coach
June 1, 2024 – June 1, 2026
Individually designed and built an end-to-end AI system that transcribes sales call recordings (tested up to 15 mins) using AWS Transcribe and generates structured coaching feedback via LLMs across 5 performance dimensions objection handling, tone, confidence, closing, and engagement. Implemented RAG with FAISS to retrieve context-aware sales knowledge and deliver personalized coaching insights grounded in proven sales methodologies. Deployed a Flask web app on Render with AWS S3 for audio storage and real-time transcription pipeline, enabling end-to-end processing from audio upload to actionable feedback.
View ProjectAdvanced AI & Machine Learning Certification
ExcelR Academy
June 1, 2026 – Present
AWS Training and Certification
Agentic AI Advanced Learning Plan
June 1, 2026 – Present
Claude Certifications
Claude with Anthropic API
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's projects showcase a strong interest in applying AI to real-world problems, particularly in healthcare and sales coaching, indicating a drive for impactful solutions. The diverse technical stack used across projects (AWS, Docker, Flask, LangChain, PyTorch) suggests a willingness to learn and adapt to new technologies. The focus on end-to-end system development aligns well with a product-oriented culture. The Master's degree in Data Science and multiple certifications reflect a commitment to continuous learning and professional development.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through the design of complex AI systems and data extraction pipelines. The detailed project descriptions suggest a proactive and independent work ethic. The experience with multi-agent systems and client-facing dashboards indicates an understanding of operational requirements and user needs. The remote internship experience also points to adaptability and self-management.