---
title: "Ninad Sahu - Delivery Data Scientist in Udaipur | Tal"
description: "Meet Ninad Sahu, Software Developer | IIT Kharagpur based in Udaipur. AI stack includes codex, cursor, and opencode."
image: "https://tal.club/meet/ninad-sahu/share-image"
---

# Ninad Sahu on Tal

## Headline

Software Developer \| IIT Kharagpur

## About

I've gained extensive experience in software development through professional experience, internships and diverse projects\. Proficient in C\+\+, Java, and Python, I've collaborated with global teams and worked on various tech stacks like React, Node\.Js, and SpringBoot\. With a track record of solving over 1000 algorithmic challenges and completing projects in web development, natural language processing, and data analysis, I bring strong problem\-solving skills and adaptability to any team\. Complemented by coursework in critical areas like Data Structures and Algorithms and Natural Language Processing, I'm poised to contribute effectively to longer\-term projects\. I'm eager to channel my passion, skills, and enthusiasm into driving innovation and achieving objectives within a dynamic team environment\.

## Location

Udaipur

## AI stack

codex

cursor

opencode

## Work experience

Delivery Data Scientist at Turing, Jun 2024 \- Present · 2 yrs 3 mos, Remote, ● Designed and developed an internal LLM\-powered validation platform using Python and FastAPI to evaluate prompt\-response datasets before training\-data ingestion, reducing manual review effort by 50% ● Built an automated multi\-LLM evaluation framework leveraging ChatGPT, Gemini, Claude, and DeepSeek to assess prompt\-response quality through consensus\-based scoring, improving validation reliability and reducing model\-specific bias ● Engineered an async FastAPI preprocessing pipeline using asyncio and async/await to concurrently dispatch validation requests across dynamically selected LLMs, normalising inputs via Pydantic schemas and standardising outputs for consistent downstream ingestion ● Developed scalable automation workflows processing 500\+ validation tasks daily, enabling efficient quality assurance for large\-scale AI evaluation and training\-data operations ● Optimized batch validation workloads through concurrent execution and efficient data\-handling strategies, reducing end\-to\-end processing time by 60% ● Implemented reusable Python library for business\-rule enforcement, data quality checks, and validation orchestration, improving maintainability and accelerating feature development ● Built comprehensive monitoring, logging, and error\-handling frameworks for validation pipelines, reducing validation failures by 30% and improving operational visibility

Software Development Intern at SigmaRed Technologies\. \#BeatAIBias, Aug 2023 \- Nov 2023 · 4 mos, Remote, Collaborated with a team to develop an AI\-powered interactive dashboard SaaS product, offering insights into company risks, losses, and effective remediation strategies\. ● Elevated an AI product by crafting its frontend with Angular, while managing data storage with DynamoDB and S3 ● Deployed backend infrastructure using capabilities of Python and using serverless AWS Lambdas and API Gateway ● Decreased client losses by 30% using an AI enabled dashboard collaboratively designed with a team of 9 members

Software Development Intern at Piramal Capital & Housing Finance Limited, May 2023 \- Jul 2023 · 3 mos, Bengaluru, ● Developed an internal Grafana automation platform using Java Spring Boot, REST APIs, and regex\-based configuration discovery, reducing dashboard setup time from several days to 5–10 minutes ● Built a self\-service observability solution helping 100\+ developers, automating dashboard onboarding through Spring Boot Actuator integration and eliminating manual configuration efforts ● Engineered automated metric extraction and dashboard provisioning workflows that standardized Grafana dashboards across engineering teams, improving monitoring consistency and reducing operational overhead ● Designed and implemented JWT\-based authentication and role\-based access control \(RBAC\) services using Spring Boot and SQLite, enabling secure access management for internal platforms

Department Representative at Career Development Centre, IIT Kharagpur, Oct 2021 \- May 2022 · 8 mos, On\-site, ● Selected by the panel of Placement Committee to execute Placement and Internship drive for over 3000 eligible students ● Placed over 1650 students and secured over 850 internship offers, the highest ever witnessing a 41% YoY increase ● Achieved record 1000\+ offers in just 3 days with more than 22 offers exceeding INR 10M and 35\+ international offers

## Education

Bachelor's degree, other, Indian Institute of Technology, Kharagpur

MDS Senior Secondary School

[View the original profile](https://tal.club/meet/ninad-sahu)

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