Subhranil Paul

Co-Founder

Kolkata, West Bengal, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Founder of innovative animal rescue platform PewPaw.
Delivered enterprise-grade AI solutions on Microsoft Azure.
Expert in Generative AI and LLMs.

Stackforce AI infers this person is a SaaS-focused AI/ML specialist with start-up experience.

Contact

Skills

Core Skills

Start-up VenturesMicrosoft AzureAi AgentsMachine Learning

Other Skills

FlaskPlaywrightApache KafkaKafkaWebSocketAzure AI SearchLarge Language Models (LLM)FastAPIBiotechnologyNext.jsRetrieval-Augmented Generation (RAG)Cloud InfrastructureCloud ServicesWeb DevelopmentPyTorch

About

Hello, I’m Subhranil Paul. I am someone who loves working with Generative AI and LLMs from experimentation to deployment. A few things about me: -Recent B.Tech-M.Tech (Integrated CSE) graduate -Code Vipassana Community Lead -Ex Google Developers Student Clubs Lead -Cloud Arcade Facilitator (2x) -Tech Stacks : Python | Machine Learning | Data Science | Generative AI | Computer Vision | MLOps | LLMOps | AI Agents | Cloud Computing Always up for collaborating on cutting-edge AI/ML projects or exchanging ideas on building better developer tools. 📬 Let’s connect or drop a message at: saheb.spaul2@gmail.com

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Pewpaw

Founder

Jan 2026 – Present · 3 mos · Remote · Remote

PewPaw is building a digital platform to transform how animal rescue and pet adoption work.
We are creating a unified ecosystem that connects rescuers, shelters, volunteers, and adopters making the process faster, transparent, and scalable.
Our goal is to use technology to solve real-world animal welfare challenges and ensure every paw finds a home.

Start-up Ventures

Teamlease regtech pvt. ltd.

Artificial Intelligence Intern

Sep 2025 – Mar 2026 · 6 mos · Hybrid

Delivered enterprise-grade AI systems on Microsoft Azure, leveraging Azure OpenAI, Azure AI Search, Blob Storage, and Apache Kafka for secure, compliance-focused data workflows.
Engineered an automated compliance intelligence platform using Flask and Playwright, enabling asynchronous task execution, multi-source CAPTCHA handling, and LLM-driven PDF data extraction at scale. Designed and implemented a multi-agent research system with Kafka-backed message queues and WebSocket-based real-time progress streaming, supporting concurrent long-running company intelligence workflows.
Architected a secure document search and analytics platform using Azure AI Search, enabling full-text search, metadata indexing, controlled document previews, and role-based access control.

Microsoft AzureAI Agents