I build agentic AI systems, RAG pipelines, and computer vision models - from multi-agent orchestration with LangGraph to fine-tuned CNNs shipped behind production FastAPI endpoints. Currently interning at Purposive AI, building voice-first Bengali AI tools for social impact.
> neofetchakashkundu114@github
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OS: Windows 11
Host: Portable Laptop
Shell: PowerShell
CPU: AMD Ryzen 9 8940HX (2.40 GHz)
GPU: NVIDIA GeForce RTX 5060 Laptop GPU (8 GB)
AMD Radeon(TM) 610M (483 MB)
System: 64-bit operating system, x64-based processor
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Name: Akash Kundu
Uptime: 22 Years
Pronouns: He/Him
Location: West Bengal, India
Education: CSE @ Techno India University
Languages: Java, C++, Python, TypeScript, SQL
Frameworks: React.js, Next.js, FastAPI, Tailwind CSS
Databases & Tools: PostgreSQL, MongoDB, Docker
About: An ardent full-stack and AI developer building computer vision models and containerized apps.
-------------------------AI Research & Social Innovation Intern · Purposive AI - Kolkata, India (Hybrid, Part-Time) · Jul 2026 – Aug 2026
- Cut manual bookkeeping effort for SHG women by 80% building a Voice-Ledger FastAPI pipeline that auto-extracts Bengali voice notes into bank-submittable PDFs
- Reduced scheme-matching hallucinations to 0% with a RAG PDF chatbot using 2-stage per-chunk grounding verification
- Eliminated OpenAI dependency entirely, routing 100% of inference through a Sarvam AI → Ollama fallback cascade
- Orchestrated agents via LangGraph state machines + PostgreSQL, k-anonymizing seller market trends and offloading tasks to Celery within WhatsApp's 20s ack window
- Sustained a 100% pass rate across a 156-test offline suite guarding ledger validation and RAG grounding logic
- 🟦 Microsoft Certified: Machine Learning Operations Engineer Associate (AI-300)
- 🟥 Oracle Certified: AI Database Foundations Associate (1Z0-1195-26)
- 🟦 Microsoft Certified: Azure AI Apps and Agents Developer Associate (AI-103)
- 🟥 Oracle Certified: Agentic AI Foundations Associate (1Z0-1157-26)