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Toshit Kale

Toshit Kale

Backend Software Engineer - Java Microservices

INDIA flag
Nagpur, India
$8.00/hrExpertHumanaticInternal Proprietary Tooling

Key Skills

Software

HumanaticHumanatic
Internal/Proprietary Tooling

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code ProgrammingComputer Code Programming
DocumentDocument
ImageImage
VideoVideo

Top Label Types

Bounding Box
Classification
Computer Programming Coding
Data Collection
Prompt Response Writing SFT
RLHF

Freelancer Overview

I am a backend software engineer with over 2 years of experience building scalable data-driven systems using Java, Spring Boot, and AWS. My work has focused on designing robust RESTful APIs and event-driven data pipelines that efficiently process and manage large volumes of data, supporting high daily user activity and ensuring secure, reliable data consumption. I have hands-on expertise in data modeling with both SQL and NoSQL databases, implementing caching strategies, and optimizing data access patterns to improve system performance and reduce latency. My background also includes developing automated CI/CD pipelines, conducting integration and unit testing, and leveraging tools like Docker, Jenkins, and Grafana for observability and deployment. I am passionate about applying my strong data management and backend skills to deliver high-quality, well-annotated, and reliable training data for AI and machine learning applications.

ExpertEnglishHindiMarathi

Labeling Experience

Desktop Interaction Specialist

Internal Proprietary ToolingDocumentClassification
As a Desktop Interaction Specialist for Google AI Initiatives, I executed large-scale data annotation projects focused on agentic AI systems. I identified and labeled UI elements, captured end-to-end desktop workflows, and maintained annotation accuracy across diverse software environments. My work contributed structured datasets for model training and supported autonomous agent pipelines. • Labeled over 1,000 interactions across 10+ software environments • Reduced annotation error rate by 30% through iterative quality assurance • Delivered datasets meeting enterprise-grade pipeline thresholds • Documented nuanced human-computer interactions for agent training

As a Desktop Interaction Specialist for Google AI Initiatives, I executed large-scale data annotation projects focused on agentic AI systems. I identified and labeled UI elements, captured end-to-end desktop workflows, and maintained annotation accuracy across diverse software environments. My work contributed structured datasets for model training and supported autonomous agent pipelines. • Labeled over 1,000 interactions across 10+ software environments • Reduced annotation error rate by 30% through iterative quality assurance • Delivered datasets meeting enterprise-grade pipeline thresholds • Documented nuanced human-computer interactions for agent training

2024

AI Interaction Specialist (Contract via Turing)

Internal Proprietary ToolingDocumentData Collection
As an AI Interaction Specialist for Meta CUA Analytics, I performed trajectory collection and high-complexity action-mapping for Meta's Computer Use Agent. I captured and annotated over 500 desktop workflows, ensuring enterprise-grade quality and acceptance rates. My mapping of autonomous software interaction sequences improved CUA benchmark performance. • Achieved a 99% annotation acceptance rate through rigorous QA • Delivered labeling data that enhanced model performance • Specialized in complex software interaction and mapping • Provided structured data supporting AI agent development

As an AI Interaction Specialist for Meta CUA Analytics, I performed trajectory collection and high-complexity action-mapping for Meta's Computer Use Agent. I captured and annotated over 500 desktop workflows, ensuring enterprise-grade quality and acceptance rates. My mapping of autonomous software interaction sequences improved CUA benchmark performance. • Achieved a 99% annotation acceptance rate through rigorous QA • Delivered labeling data that enhanced model performance • Specialized in complex software interaction and mapping • Provided structured data supporting AI agent development

2024 - 2024

Education

Y

Yeshwantrao Chavan College of Engineering (YCCE)

Bachelor of Engineering, Computer Science

Bachelor of Engineering
2023 - 2023

Work History

N

NielsenIQ

Software Engineer

Pune
2023 - Present
N

NielsenIQ

Software Engineer Intern

Pune
2023 - 2023