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M
Md R.

Md R.

Independent AI Agent & ML Bot Developer (Autonomous agents and structured output engineering)

India flagN/A, India

Key Skills

Software

Other

Top Subject Matter

LLM/Agent behavior training
structured output formatting (JSON/CSV)
Data validation and evaluation for AI systems in financial monitoring environments

Top Data Types

TextText

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Freelancer Overview

Independent AI Agent & ML Bot Developer (Autonomous agents and structured output engineering). Brings 3+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Unspecified Certification, Zad Academy (2024) and Self-Directed Technical Focus, Zad Academy (2024). AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Independent AI Agent & Machine Learning Bot Developer - Independent

TextText

You developed autonomous AI agents and machine learning bots as an independent developer, focusing on turning inputs into reliable multi-step outputs. You engineered logic flows to process live data, make decisions, and execute tasks while maintaining structured, schema-compliant responses. Your work required strong skills in prompt engineering, API/data integration, and debugging logical loops to reduce hallucinations. • Designed and implemented autonomous logic flows for custom AI agents • Built bots to parse live data streams with filtering and event notifications • Engineered consistent JSON/text outputs to minimize parsing errors • Iteratively tuned prompts and instructions to improve accuracy and reliability

2024 - Present

Technical Explorer (Systems & Data Analysis — independent studies)

OtherTextText

Conducted independent analysis and auditing of data synchronization and validation workflows that feed agent and platform behaviors. Interpreted multi-variable relationships and continuous patterns in financial monitoring contexts to support reliable downstream decisions. This work functioned as an evaluation and quality-check layer for training/evaluation of AI systems using structured, validated data. • Audited digital workflows across account lifecycles and validation systems • Analyzed continuous data patterns and relationships across platform APIs • Assessed data synchronization integrity for reliable automated agent inputs • Supported edge-case handling through monitoring-focused analysis

2024 - Present

Independent AI Agent & ML Bot Developer (Autonomous agents and structured output engineering)

OtherTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

Engaged in structured prompt engineering and iterative response shaping to produce schema-compliant outputs for AI agents. Focused on tuning agent behavior by testing prompts and system instructions to reduce hallucinations and improve logical consistency. Performed evaluation-style debugging of output formatting and conversational flow to ensure reliable, training-like behavior for downstream LLM usage. • Validated and enforced JSON/text schema compliance for exchanges • Debugged logical loops and corrected reasoning flow in agent instructions • Minimized parsing errors by standardizing structured output formats • Tuned agent behaviors to improve response accuracy

2024 - Present

Education

Z

Zad Academy

Self-Directed Technical Focus, Machine Learning Architecture and Autonomous Agent Design

Self-Directed Technical Focus
2024
Z

Zad Academy

Unspecified Certification, Analytical Texts

Unspecified Certification
2024

Work History

I

Independent

Independent Systems & Data Analysis Researcher

N/A
2024 - Present
I

Independent

Independent AI Agent & Machine Learning Bot Developer

N/A
2024 - Present