Advanced Learning Algorithms

Fundamentals of Visualization with Tableau

Supervised Machine Learning: Regression and Classification

Technical Team Member

Member

ICSE and ISC

Bachelor of Engineering - BE

Developed an automated pipeline for processing DRS reports, calculating brand and rider payouts including rider incentives, reducing manual effort and increasing productivity.

Built an Excel to Code Parser which can convert Excel formulae into Code and uses AI Agents to validate the results.

Made Amazon Seller Central's data processing dashboards for vendors to process their data and get different metrics. Also built invoicing system which can create invoices via Google sheets directly.

AI Automation Engineer

Developed generative pipelines for text and image tasks, like LinkedIn post generation utilizing agentic frameworks.

Created face-swapping workflows, using advanced ML models like InstantID, ControlNet and CLIP with the help of different integration techniques like ComfyUI.

Conducted A/B testing on various LLMs to identify the most effective model for specific tasks.

AI Engineer

Fine-tuned OpenAI Whisper models of various sizes for multiple Indian languages and conducted performance evaluations to assess their accuracy with metrics like WER and CER.

Developed a Telegram bot that processes meeting audio, which diarizes, transcribes, and identifies speakers to get key insights and generate actionable deliverables for upcoming tasks, along with a RAG to ask the meeting details, integrating them into Notion for startups.

Developed a redaction workflow that processes medical consultation audio, accurately identifying and removing all forms of personally identifiable information (PII) to ensure privacy and compliance with HIPAA guidelines, safeguarding patient anonymity.

Created an end to end audio processing simulation tool that takes in audio input, applies various configurable processing simulations, and compares the resulting outputs for performance and quality analysis.

SDE Intern

<p>Built core infrastructure for an agentic AI powered QA automation platform, enabling autonomous end to end testing of mobile and web applications.

Architected and deployed distributed Temporal workflows to orchestrate test execution, device lifecycle management, failure recovery, and asynchronous task processing across different testing environments.

Designed and implemented the complete device provisioning and test execution pipeline for iOS and browser environments, supporting testing across multiple Chrome and iOS versions and device configurations.

Developed production grade backend services and APIs in Golang, while leading major refactoring efforts for platform workflows and playground functionality.</p>

Founding Engineer(SDE)

Builder passionate about AI, automation, and making complex problems into scalable production systems.

github

Know about Md Raqeeb Haider's work experience, education, bootcamps, certifications, and much more. Md Raqeeb Haider