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AMITESH KUMAR SINGH

Software Development & Debugging Workflow Contributor @ Turing | Analyzing Development Workflows

Bengaluru

< 1 year of work experience

Turing
Mar 20262 mosApr 2026

Remote

• Executed and recorded real-world software development workflows across environments such as Android Studio and Visual Studio Code, including application development, debugging, and issue resolution. • Built and debugged applications (Android and web-based) while capturing end-to-end development journeys, including code execution, error handling, and iterative fixes. • Analyzed IDE-level signals such as logs, errors, build outputs, and execution flows to create structured data for training and evaluating developer-focused AI systems. • Simulated realistic developer scenarios involving bug reproduction, troubleshooting, and workflow navigation to improve model understanding of coding environments. • Ensured high-quality data generation by following structured recording protocols, environment setup guidelines, and consistency standards across diverse development tasks.
Turing
Sep 20253 mosNov 2025

Remote

• Contributed to multimodal data pipelines for vision-language-action (VLA) models by structuring and curating large-scale datasets spanning video, robotics, and interactive environments. • Designed temporally grounded, intent-aware captions and reasoning traces to align visual inputs with language and action outputs, improving model understanding and contextual decision-making. • Supported evaluation and feedback loops for model outputs by applying consistency checks, alignment criteria, and structured validation workflows across multimodal tasks. • Improved dataset quality and cross-modal consistency across diverse domains, including real-world scenarios, simulated robotics environments, and gameplay-based interactions.
Nov 20233 mosJan 2024

Mohali district, India

1. Architected and integrated blockchain infrastructure across backend and frontend, enabling a fully decentralized social media platform with scalable and secure transaction flows. 2. Implemented NFT-based identity layer for user profiles, giving users verifiable ownership of content and unlocking new revenue streams via tokenized assets. 3. Engineered transaction batching system on Solana, achieving ~3–4x throughput improvement and >60% reduction in gas fees, significantly enhancing platform performance and cost efficiency. 4. Designed a hybrid storage model (IPFS + centralized DB), balancing decentralization with speed, resulting in 3x faster content retrieval while maintaining distributed redundancy. 5. Developed wallet-based authentication protocol, replacing traditional login flows and ensuring cryptographically secure, trustless access for users. 6. Contributed to tokenomics and business model, aligning blockchain architecture with sustainable monetization and user adoption strategies.

AMITESH’s AI Stack

cursor
cursor
langchain
langchain
ollama
ollama
openai
openai

Education

CHANDIGARH UNIVERSITY

Bachelor of Engineering - BE, Computer Science

CHANDIGARH UNIVERSITY

20214 yrs2025
Sant atulanand convent school

Sant atulanand convent school

201010 yrs2020

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Headline

Software Development & Debugging Workflow Contributor @ Turing | Analyzing Development Workflows

About

A graduate of Chandigarh University with a Bachelor of Engineering in Computer Science, currently contributing as a Software Development & Debugging Workflow Contributor at Turing. The role focuses on analyzing and recording software development workflows across environments like Android Studio and Visual Studio Code, with an emphasis on debugging and improving AI-driven developer systems. Previous experience includes contributions to blockchain infrastructure and multimodal AI (VLA) data pipelines. Core competencies include Java, artificial intelligence, and computer networking. Motivated to innovate and deliver impactful, technology-driven solutions that elevate development workflows and enhance system efficiency.

Location

Bengaluru

AI stack

cursor

langchain

ollama

openai

Work experience

Software Development & Debugging Workflow Contributor — Turing (Client: Google) at Turing, Mar 2026 - Apr 2026 · 2 mos, Remote, • Executed and recorded real-world software development workflows across environments such as Android Studio and Visual Studio Code, including application development, debugging, and issue resolution. • Built and debugged applications (Android and web-based) while capturing end-to-end development journeys, including code execution, error handling, and iterative fixes. • Analyzed IDE-level signals such as logs, errors, build outputs, and execution flows to create structured data for training and evaluating developer-focused AI systems. • Simulated realistic developer scenarios involving bug reproduction, troubleshooting, and workflow navigation to improve model understanding of coding environments. • Ensured high-quality data generation by following structured recording protocols, environment setup guidelines, and consistency standards across diverse development tasks.

Multimodal AI (VLA) Data & Pipeline Contributor — Turing (Client: OpenAI) at Turing, Sep 2025 - Nov 2025 · 3 mos, Remote, • Contributed to multimodal data pipelines for vision-language-action (VLA) models by structuring and curating large-scale datasets spanning video, robotics, and interactive environments. • Designed temporally grounded, intent-aware captions and reasoning traces to align visual inputs with language and action outputs, improving model understanding and contextual decision-making. • Supported evaluation and feedback loops for model outputs by applying consistency checks, alignment criteria, and structured validation workflows across multimodal tasks. • Improved dataset quality and cross-modal consistency across diverse domains, including real-world scenarios, simulated robotics environments, and gameplay-based interactions.

Software Developer at KapsLog, Nov 2023 - Jan 2024 · 3 mos, Mohali district, India, 1. Architected and integrated blockchain infrastructure across backend and frontend, enabling a fully decentralized social media platform with scalable and secure transaction flows. 2. Implemented NFT-based identity layer for user profiles, giving users verifiable ownership of content and unlocking new revenue streams via tokenized assets. 3. Engineered transaction batching system on Solana, achieving ~3–4x throughput improvement and >60% reduction in gas fees, significantly enhancing platform performance and cost efficiency. 4. Designed a hybrid storage model (IPFS + centralized DB), balancing decentralization with speed, resulting in 3x faster content retrieval while maintaining distributed redundancy. 5. Developed wallet-based authentication protocol, replacing traditional login flows and ensuring cryptographically secure, trustless access for users. 6. Contributed to tokenomics and business model, aligning blockchain architecture with sustainable monetization and user adoption strategies.

Education

Bachelor of Engineering - BE, Computer Science, CHANDIGARH UNIVERSITY

Sant atulanand convent school