Open to opportunities

Jayateerth Dambal

@jayateerthdambal

Software Engineer | Go & Python. Specialist in Agentic AI (MCP). Cut manual work 40% with Scalable APIs. 3yrs exp. AWS ML Certified.

India

Message

What I'm looking for

I am seeking roles where I can take end-to-end ownership of the AI lifecycle—from architecting scalable backends in Go and Python to deploying agentic workflows using LangGraph and MCP.

Building the next generation of Agentic AI systems.

I am a Software Engineer specializing in LLM Orchestration and High-Performance Backends. While many can prompt an LLM, I build the infrastructure that makes them reliable for enterprise production.

Core Edge:

Orchestration: Built multi-hop reasoning systems using LangGraph and Model Context Protocol (MCP) to solve complex business queries over 10M+ records.
Performance: Experienced in crafting scalable APIs using Go and FastAPI, optimizing for low latency and high reliability.
Results: Automated document extraction workflows for Relanto AI, delivering a 40% reduction in manual effort and a 35% improvement in resolution speed.

Stack: Python, Go, TypeScript | LangGraph, MCP, RAG | AWS (ECS, Lambda, API Gateway) | PostgreSQL, Redis, DynamoDB.

Philosophy: I don't just build features; I solve bottlenecks. I thrive in remote, product-focused environments where engineering rigor meets AI innovation.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Relanto AI

Mar 2025 - Present (1 year 3 months)

At Relanto AI (March 2025–Present), I lead the development of agentic AI systems. I design ML pipelines and reasoning frameworks using LangGraph and MCP for complex enterprise data. Using Go and FastAPI, I build the scalable infrastructure required to move AI from research to production-ready services.

Python AWS Sagemaker Bedrock MCP (Model Context Protocol)LangGraph RAG Machine Learning Time Series

Current

Python Developer

Current

Accomptant AI

Feb 2023 - Present (3 years 4 months)

At Finkeeper (Feb 2023–Mar 2025), I engineered backend microservices using Django and Go for financial analytics. I optimized database queries to improve API response times by 25% and managed production deployments on AWS ECS. By building React-based dashboards, I enabled teams to turn raw data into real-time forecasting and actionable business insights.

Python Django React AWS Docker Next.js

Associate IoT Developer

Kainskep IoT Solutions

Implemented a robust maintenance and monitoring framework for IoT devices, utilizing MQTT Protocol and Azure IoT Hub, resulting in a noteworthy 25% decrease in system downtime, optimizing device performance and enhancing overall operational efficiency. Orchestrated the successful deployment of Azure IoT Hub, enabling efficient configuration of a number of IoT devices and driving a notable 30% enh

IoT MQTT Azure IoT Hub Data Analysis Customer Segmentation