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TEJAS SINGH

Software Engineer @ Sigmoid | Python, Agentic AI, Gen AI

Varanasi

1+ year of work experience

Sigmoid
Jul 20251 y 2 moPresent

Banglore, Karnataka

1.Own and manage CI/CD pipelines on Azure DevOps, including YAML-based repository configuration, to keep deployments across the organization reliable and repeatable. 2.Diagnose recurring pipeline failures through daily error analysis, tracing root causes back to specific documents and artifacts to cut down repeat breakages. 3.Extend an internal Power Apps portal with new features based on stakeholder requirements, working across the Azure, Databricks, Snowflake, and Power BI stack.

TEJAS’s AI Stack

claude
claude
langchain
langchain
langgraph
langgraph
langsmith
langsmith
mcp
mcp
huggingface
huggingface

Education

Indian Institute of Technology, Bhubaneswar

Bachelor of Technology, Computational Science

Indian Institute of Technology, Bhubaneswar

20214 yrs2025

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Headline

Software Engineer @ Sigmoid | Python, Agentic AI, Gen AI

About

Software Engineer at Sigmoid, specializing in Agentic AI and Generative AI, with a strong foundation in software engineering and data engineering. Graduate of IIT Bhubaneswar, with expertise in building intelligent, scalable, and production-ready AI solutions using modern LLM and agentic frameworks. Holds the Databricks Certified Data Engineer Associate certification, demonstrating proficiency in data engineering and cloud-based data platforms. Experienced in collaborating with cross-functional teams to design and develop efficient solutions, combining strong computer science fundamentals with practical expertise in AI engineering and data technologies.

Location

Varanasi

AI stack

claude

langchain

langgraph

langsmith

mcp

huggingface

Work experience

Software Engineer at Sigmoid, Jul 2025 - Present · 1 y 2 mo, Banglore, Karnataka, 1.Own and manage CI/CD pipelines on Azure DevOps, including YAML-based repository configuration, to keep deployments across the organization reliable and repeatable. 2.Diagnose recurring pipeline failures through daily error analysis, tracing root causes back to specific documents and artifacts to cut down repeat breakages. 3.Extend an internal Power Apps portal with new features based on stakeholder requirements, working across the Azure, Databricks, Snowflake, and Power BI stack.

Education

Bachelor of Technology, Computational Science, Indian Institute of Technology, Bhubaneswar

Public links

github: https://github.com/Tejas9415

TEJAS SINGH - Software Engineer in Varanasi | Tal