Open to opportunities

Sauham Vyas

@sauhamvyas

Agentic AI Engineer building production AI agents, RAG systems, and enterprise AI applications from prototype to production.

India

Message

What I'm looking for

I am seeking opportunities in innovative environments where I can apply my AI skills and contribute to impactful projects.

I'm an Agentic AI Engineer with experience building production-ready AI systems using LLMs, AI agents, RAG, workflow automation, and cloud-native technologies. I currently work at Webflow, where I develop enterprise AI solutions that automate complex business processes, integrate with internal tools, and deliver measurable business impact.

My work spans the complete AI product lifecycle—from designing multi-agent architectures and retrieval pipelines to deploying scalable production systems. I've built AI applications using OpenAI, Claude, AWS Bedrock, LangChain, LlamaIndex, Qdrant, FastAPI, and Python, focusing on reliability, evaluation, and seamless enterprise integration.

Some of my key projects include a Policy Analyzer that automates insurance policy validation using LLMs and document intelligence, a Claim Status Voice & SMS Agent powered by ElevenLabs and AI workflows, an AI Recruiting Agent that automates interview scheduling and candidate coordination, and Founder's Room, a multi-agent platform where specialized AI agents collaborate to evaluate startup ideas and generate structured business strategies.

I enjoy solving ambiguous problems, rapidly prototyping AI solutions, and taking products from concept to production. I'm particularly interested in Agentic AI, enterprise automation, developer tools, document intelligence, and AI infrastructure, and I'm looking to join teams building impactful AI products at scale.

Experience

Work history, roles, and key accomplishments

Current

Agentic AI Engineer

Current

Webflow

Nov 2025 - Present (9 months)

Designed and deployed a production-grade LLM-powered Recruiting Agent using AWS Bedrock Agent Core and integrated Greenhouse, Airtable, and Google Calendar to enable instant Slack scheduling responses, reducing HR coordination time by ~80%. Also built cost-analysis and Slack-based RAG agents and performed model evaluation and fine-tuning for production reliability.

LLM Powered Agents AWS Bedrock Agent Core Strands Greenhouse Airtable Google Calendar Slack N8n Webhooks Google Sheets Orchestration RAG Model Evaluation Fine Tuning Benchmarks

AI Developer

Horeca Store

Mar 2025 - Oct 2025 (7 months)

Developed and deployed a production-grade bulk order recommendation system using customer purchase history, product categories, and seasonal trends to optimize B2B order volumes and inventory planning. Implemented personalization, forecasting, and decision-support features using collaborative filtering and RAG pipelines and integrated recommendations into the Horeca Store platform.

Bulk order recommendations Recommendation Systems Inventory Planning Machine Learning Collaborative Filtering RAG Forecasting Personalization Decision Support

AI-ML Engineer

SETV Global

Jul 2024 - Feb 2025 (7 months)

Implemented computer vision models to detect tumors and Alzheimer’s in MRI scans and generate diagnostic reports by identifying key abnormalities. Used YOLO with PyTorch, TensorFlow, and OpenCV, and applied NLP techniques to analyze physicians’ inputs and improve response accuracy by 20%.

Computer Vision CNN MRI imaging Tumor detection Alzheimer'S Detection YOLO PyTorch TensorFlow OpenCV NLP Diagnostic Reporting Machine Learning

AI and Data Science Intern

Codsoft Infotech

May 2024 - Jul 2024 (2 months)

Built an OCR system to extract text from images (typed and handwritten) and stored results in a database, supporting digitization of handwritten assignments and books. Developed automated ETL pipelines for structured and unstructured data to reduce processing time and improve data accuracy for analysis.

OCR Image text extraction Database storage ETL Pipelines Data Processing Structured Data Unstructured Data Data accuracy improvement

Operations and Data Analyst

Devaditya Technocrats LLP

May 2023 - May 2024 (1 year)

Designed interactive dashboards and analytical reports using Matplotlib and Pandas to visualize inventory turnover, financial performance, and customer engagement trends for data-driven decision-making. Led data analysis with Python (Pandas, NumPy) and SQL, and managed end-to-end data operations including legacy data entry, Excel-based financial forecasting models (pivot tables and automation), and documentation standardization.