Vivek Vardhan M.

Key Skills

Software

Other

Top Subject Matter

Generative AI / AI Engineering workshop

Emergency response assistant (Generative AI)

Cloud engineering & data analytics (AI data prep)

Top Data Types

Text

Audio

3D Sensor

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Data Collection

Classification

Fine-tuning

Function Calling

Freelancer Overview

AI Engineering Industry Workshop – Back to Base Event (participant). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other. Education includes Bachelor of Technology, NIAT (2025). AI-training focus includes data types such as Text, Audio, and 3D Sensor and labeling workflows including Prompt + Response Writing (SFT), Text Generation, and Data Collection.

Labeling Experience

Finance Head | Gen AI Club, NIAT (workshop organizer)

OtherFine-tuning

Coordinated and delivered generative AI peer-learning workshops as part of the Gen AI Club’s ongoing activities. Supported hands-on sessions focused on improving understanding of generative AI tools and development models, which aligns with training and evaluation practices at a conceptual level. Organized recurring club events that prepared peers to work with generative AI development workflows and iterative improvements.• Conducted workshop sessions centered on generative AI tool usage and model development concepts.• Facilitated peer literacy by explaining development workflows and practical capabilities.• Organized campus events to support iterative experimentation with generative AI tools.• Coordinated resources and session planning to enable learning and application exercises.

2026 - Present

Hackathon Competitor | AgentX Agentic Development Competition – Woxsen University

OtherFunction Calling

Participated in an agentic development competition where a team built practical software agents using modern AI frameworks. Worked within compressed timelines to architect agent functionality and integrate framework capabilities to achieve competition goals. This activity involved building agent behaviors that typically require structured tool/function invocation patterns within AI agent systems.• Collaborated on rapid prototyping of AI-driven agent components.• Implemented or integrated AI framework features to enable agent actions.• Coordinated with teammates to meet delivery constraints in a competition setting.• Contributed to agent architecture aimed at functional outcomes for the challenge.

2026 - 2026

Lead Organizer | Agentsphere Part 2 Workshop – NIAT

OtherText

Organized and executed a specialized technical workshop on modern development workflows with an emphasis on structured learning and hands-on build processes. Led peer teams and oversaw technical deep-dives that likely involved creating and running AI-capable development activities. Focused on guiding participants through implementation steps that support training-style development practices and workflow setup.• Planned workshop structure, timelines, and technical deep-dive content for hands-on learning.• Coordinated peer teams responsible for different parts of the workshop delivery.• Managed execution details to ensure participants completed guided implementation exercises.• Facilitated learning paths aimed at practical development execution relevant to AI workflows.

2026 - 2026

Cloud Engineering & Data Analytics Workshop – Microsoft Back to Base Event

OtherTextData Collection

Completed a cloud engineering and data analytics workshop that supported AI/data preparation practices for analytics-oriented ML use. Worked on activities that involved organizing datasets and preparing data for model-related analysis tasks. Emphasized collecting, cleaning, and structuring information to make it usable for downstream AI/analytics pipelines in a workshop environment.• Undertook dataset preparation and structuring tasks relevant to AI analytics workflows.• Learned cloud-based methods for handling and analyzing data.• Applied data organization practices to support model training/experimentation needs.• Practiced end-to-end steps from data handling to analytics outputs.

2026 - 2026

VoiceGuard: AI-Powered Emergency Response Assistant

OtherAudioText Generation

Developed an AI-powered emergency response assistant that required interpreting voice-based inputs and associated text/context queues. Implemented generative AI components to parse contextual information for downstream dispatch decisions. Focused on transforming unstructured audio/text signals into structured outputs usable by an emergency coordination system.• Designed voice-to-queue processing logic for emergency incident coordination.• Integrated generative AI modules to interpret dynamic audio/text queues.• Parsed essential contextual data to support dispatch system behavior.• Tested end-to-end assistant flow to ensure relevant, structured outputs.

2026 - 2026

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Education

Work History