Siddhesh R.

Key Skills

Software

Google Cloud Vertex AI

Other

Top Subject Matter

Energy, Automobile, Utility, Media

Agentic Systems

LLM/RAG Evaluation

Top Data Types

Document

Text

Image

Top Task Types

Bounding Box

Classification

Text Generation

Text Summarization

Question Answering

Function Calling

Data Collection

Freelancer Overview

AI Engineer at OPmobility (Digital Solutions) (AI output evaluation and Document Intelligence QA). Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Microsoft Copilot Studio, Azure Document Intelligence, and Azure AI Studio. Education includes Master of Business Administration, Welingkar Institute of Management (2022) and Bachelor of Engineering, Mumbai University (2017). AI-training focus includes data types such as Document and Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Engineer - OPmobility (Digital Solutions)

Google Cloud Vertex AIDocumentRLHFEntity (NER) Classification

Developed and deployed production AI systems within Microsoft Copilot Studio, improving routing accuracy and multi-agent response quality through systematic evaluation cycles and iterative prompt refinement. Built and delivered full-stack agentic applications using a React front end and an Anthropic agent framework, covering end-to-end design through deployment. Designed evaluation and benchmarking approaches for document intelligence and live system quality to drive measurable improvements in accuracy and output correctness. • Production AI development using Microsoft Copilot Studio and agentic frameworks • Full-stack implementation with React and deployed agent-based tools • Document translation services using Azure Document Intelligence with multi-KPI evaluation • Live quality benchmarking, failure pattern identification, and accuracy improvement

2026 - Present

AI Engineer at OPmobility (Digital Solutions) (AI output evaluation and Document Intelligence QA)

Document

Developed evaluation-driven AI workflows in Microsoft Copilot Studio and Azure AI services to assess and improve generative agent outputs in production. Focused on measuring answer quality against defined benchmarks, identifying failure modes, and iterating prompts and system behavior to raise correctness and reliability. Applied Document Intelligence to build translation and document processing services with multi-KPI quality checks. • Evaluated live production AI responses for routing accuracy and multi-agent response quality • Designed and ran multi-KPI frameworks for translation accuracy, formatting fidelity, and domain-term precision • Assessed agent routing and output correctness against quality benchmarks to drive measurable improvements • Analyzed failure patterns (e.g., hallucinations and retrieval gaps) from real system behavior

2026 - Present

Senior Associate Consultant - AI - Infosys Ltd.

Google Cloud Vertex AITextRLHFEntity (NER) Classification

Led end-to-end delivery of generative AI solutions across energy, media, and utilities sectors, including design, prompt engineering, evaluation, and production deployment. Built and critically evaluated RAG systems using LangChain and Azure OpenAI, assessing retrieval precision, answer faithfulness, and citation correctness prior to delivery. Developed and evaluated multi-agent pipelines, mentoring team members on AI output evaluation standards and quality thresholds. • RAG system design, evaluation, and production readiness using LangChain and Azure OpenAI • Multi-agent pipeline development and evaluation with tool-use correctness and failure recovery • Prompt engineering cycles guided by structured quality rubrics and domain accuracy checks • Mentorship on LLM evaluation standards, quality thresholds, and output correctness

2023 - 2026

Senior Associate Consultant - AI at Infosys Ltd. (AI evaluation, RLHF-style preference/reasoning checks, quality review)

Document

Led end-to-end development, critical evaluation, and production deployment of generative AI solutions across energy, media, and utilities. Built and evaluated RAG systems and multi-agent pipelines by personally checking retrieval faithfulness, citation correctness, and tool-use reasoning paths against quality standards. Conducted structured prompt engineering and output review cycles using rubrics for domain accuracy. • Personally evaluated retrieval precision, answer faithfulness, and citation correctness for RAG deliverables • Evaluated multi-agent reasoning paths, tool-use correctness, and failure recovery behavior • Iterated prompt and response quality using structured rubrics and domain-accuracy checks • Mentored team members on AI output evaluation standards and quality thresholds

2023 - 2026

Associate Consultant - Data & Analytics at Infosys Ltd. (data quality validation in ETL/analytics)

Text

Worked on data ingestion and ETL pipeline development for Cognite Data Fusion (CDF) and implemented validation of structured data at each modeling stage. Built Grafana and Power BI dashboards to support quality monitoring and analytical review for energy sector clients. Contributed to ensuring data correctness throughout the pipeline to support downstream analytics workflows. • Built and validated ETL pipeline components for CDF data ingestion • Reviewed and validated data quality at each pipeline stage • Produced Grafana and Power BI dashboards for energy sector clients • Developed Python batch scripts for structured data modeling and checks

2022 - 2023

Education

Work History