Yasir G.

Key Skills

Software

Label Studio

Prodigy

Snorkel AI

Argilla

Top Subject Matter

Speech-to-text AI for conversational data processing

AI-enabled SaaS API/workflow engineering

Conversational AI data ingestion and AI workflow orchestration

Top Data Types

Audio

Text

Document

Top Task Types

Transcription

Function Calling

Freelancer Overview

Full Stack GenAi Engineer (SaaS) — Research Initiative (Worknet.ai). Brings 9+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include LangChain, TikaServer, and Pinecone. Education includes Lagos State University. AI-training focus includes data types such as Audio, Computer Code, and Programming and labeling workflows including Transcription and Function Calling.

Labeling Experience

Frontend/Backend Fullstack GenAi Software Engineer (AWS & Ui)

AudioTranscription

Engineered an AI marketing chat feature that used OpenAI with the Vercel AI SDK to connect frontend user context to backend AI workflows. The backend ingested, processed, and structured large volumes of conversational data through integrations with Fathom and Fireflies.ai. Work included building API services and storage logic on AWS to support AI-driven conversational experiences. • Built interactive chat feature using OpenAI + Vercel AI SDK • Ingested and processed conversational data via AI integrations • Implemented backend API services for AI workflow execution • Used AWS services to structure and store AI-ready data

2026 - Present

Full Stack GenAi Engineer (SaaS) — Research Initiative (Worknet.ai)

AudioTranscription

Led a research initiative into a speech-to-text AI project using LangChain, Tika, and Pinecone with Whisper. The work involved preparing and structuring conversational speech data for downstream transcription workflows. It supported AI assistant development by converting audio signals into text-ready formats for evaluation and iteration. • Speech-to-text pipeline development using Whisper • Data preparation and structuring for AI workflows • Use of LangChain and Tika for processing • Storage/lookup support via Pinecone

2025 - 2026

Full Stack Engineer (SaaS)

Function Calling

Built and integrated AI-enabled backend capabilities in a SaaS setting, focusing on high-performance API functionality and automated service interactions. Implemented AWS serverless architectures to support AI/workflow endpoints that enable structured data handling and secure transactions. The role emphasized production readiness and secure API design for AI-driven application flows. • Implemented RESTful APIs supporting AI/workflow endpoints • Deployed serverless infrastructure using Lambda and API Gateway • Secured APIs with IAM roles and policies • Automated, reproducible deployments via CDK/CloudFormation

2024 - 2025

Education

Work History