Yog P.

Key Skills

Software

Remotasks

Label Studio

Data Annotation Tech

Top Subject Matter

Speech recognition

Ocr Domain Expertise

document QA

Top Data Types

Image

Text

Document

Top Task Types

Bounding Box

Object Detection

Question Answering

Computer Programming/Coding

Segmentation

Classification

Entity (NER) Classification

Text Generation

Text Summarization

Fine-tuning

Freelancer Overview

Full Stack Developer with strong expertise in AI powered applications, backend systems, cloud deployment, and automation solutions. I specialize in building scalable and production ready applications that combine modern web technologies with AI, automation, AI integrations, APIs, and deployment workflows. With 1.5 years of industry experience as an AI/ML Developer, I have worked on real world projects involving LLM applications, RAG systems, NLP, OCR, automation pipelines and scalable backend architectures. Alongside industry experience, I have also delivered freelance projects involving scraping systems, cloud hosting, backend APIs, website development, and business analytics dashboards. I can help with: - AI & LLM Integrations - RAG Systems - Full Stack Web Applications - Python Backend development - REST APIs & System Integration - Cloud deployment and hosting - Automation systems Tech stack: Python, TensorFlow, PyTorch, FastAPI, Flask, Django, GoLang, SQL, JavaScript, NodeJS, HTML/CSS, SQL, Docker, Qdrant, OCR, NLP, and cloud based deployment workflows. I enjoy building applications that are not only technically strong but also practical, scalable, and useful in real world environments.

Labeling Experience

AI/ML Engineer — Tuvoc Technologies Pvt. Ltd. (June 2024 - Nov 2025)

AudioTranscription

Designed and developed Speech-to-Text (STT) and Text-to-Speech (TTS) sub-services intended for integration into existing production systems. Researched and optimized OCR pipelines to improve character-level extraction accuracy when standard OCR was insufficient. Contributed to AI-driven backend logic supporting downstream question-answering and conversational workflows. • Worked on model and pipeline optimization for fine-grained text extraction. • Collaborated with APIs and data flows to enable production-ready AI features. • Implemented RAG components for document-based question answering and improved retrieval relevance. • Built an agentic chatbot workflow for a live fintech platform using conversational automation.

2024 - 2025

AI/ML Intern — YBI Foundation (May 2024)

Don't disclose

Performed data preprocessing, model training, and evaluation on real-world datasets while working with TensorFlow and Scikit-learn. Focused on building foundational ML skills across multiple learning paradigms including supervised, unsupervised, and reinforcement learning. Supported experimentation cycles to assess model performance and improve training outcomes. • Preprocessed data for downstream ML training. • Trained and evaluated models using supervised/unsupervised/RL approaches. • Used TensorFlow and Scikit-learn for experimentation. • Assessed results to inform iteration on modeling approaches.

2024

Education

Work History