Sangramjeet Ghosh
Building the future of AI-driven automation, full-stack systems, and next-gen SaaS products. Creator of Neuroviai.
Sangramjeet
Ghosh
AI Engineer & Founder
I build production-grade AI platforms that bridge cutting-edge research with commercial SaaS architectures. Currently scaling Neuroviai — a live content-automation SaaS with paying customers and 1.2K+ monthly visitors at 99.7% uptime.
Engineering Odyssey
From foundational algorithms to autonomous AI agents and scalable SaaS platforms.
2021 – 2022 · Foundations
Algorithmic Roots & Core Development
Began B.Tech CSE (AI & ML) at Malla Reddy University. Built a foundation in Python, data structures & algorithms, SQL and responsive web development through coursework and personal projects.
2023 · Deep Tech
Machine Learning, NLP & Computer Vision
Explored neural networks, CNNs, transformers and real-time vision pipelines with OpenCV and MediaPipe — building touchless gesture interfaces. Built and pitched a prototype at the 36-hour national hackathon Metaloop 2K23.
2024 · Applied AI
Hackathon Winner & Agentic RAG Systems
Won 1st Place at Ideathon 2.0 with an AI healthcare automation concept. Moved into retrieval-augmented generation (RAG) and multi-agent architectures using LangGraph, LangChain, ChromaDB and Groq inference.
2025 · Industry & Product
Internship, Freelance & the Launch of Neuroviai
Data Science & Backend Intern at Inikola Technologies — shipped FastAPI/NLP services for CraftingBrain on AWS with Docker CI/CD. Began freelancing for 3+ startup founders and launched Neuroviai, a live content-automation SaaS.
2026 – Present · Founder & Autonomous Systems
Founding Engineer, Autonomous AI & Graduation
Graduated B.Tech CSE (AI & ML). Joined Molars Nutrition as Founding Engineer, and built Sebastian (25-module autonomous AI OS with 92 tools) and Genesis (multi-agent fleet operations hub) — while scaling Neuroviai to paying customers.
Production AI Architecture
How I build AI systems end to end — select a stage to see the real implementation details and which project it comes from.
01. Multimodal Input
Captures streaming audio, camera frames and text. Sebastian runs full-duplex audio into Gemini Live at 16 kHz mono, with a Discord bridge resampling 48 kHz stereo down to the pipeline rate. Vision handled by MediaPipe and OpenCV.
Every Technology in the Arsenal
Production-tested tools deployed across the pipeline above — and every project in the catalog.
Engineered Systems
Thirty-five full-scale production systems across four autonomous worlds.
Enter the Nebula of Creation
35 Production Systems • 4 Autonomous Worlds
Command Interface
Interact with my live developer environment. Type commands or click triggers below.
system: Welcome to Sebastian AI Terminal [v2.5.0-prod].
system: Type help to inspect all available commands.
Recognition & Prestige
Verified performance in competitive AI hackathons and professional certification programs.
Ideathon 2.0 Winner
Won 1st place with an automated AI healthcare solution, pitched to industry judges on architecture, feasibility and market viability.
Mr. Memecredible — VS Code Extension
Shipped real-time developer extension to official Visual Studio Marketplace — 904 active installs, sub-16ms diagnostics, zero-dependency bundle.
DeepLearning.AI · AWS Cloud
DeepLearning.AI ML Specialization, AWS Cloud Practitioner, GCP Fundamentals, and Azure AI-900 — part of a 30+ verified credential portfolio.
Published Book & Research
Authored and published technical book on Touchless Gestures & HCI alongside peer-reviewed research in AI systems.
Verified Certifications
Deep Learning Specialization
Convolutional Neural Networks
Face Detection & Recognition
AI/ML Professional
Machine Learning
Data Science
Python for Data Science
Neural Networks
NLP Specialization
Advanced ML
TensorFlow Developer
Computer Vision
AI Engineering
Deep Learning Specialization
Convolutional Neural Networks
Face Detection & Recognition
AI/ML Professional
Machine Learning
LET'S
BUILD
SOMETHING.
— Send a Transmission
Data Scientist, AI/ML Engineer & Full-Stack Developer — building intelligent systems and the infrastructure that keeps them running.
I specialise in turning research-grade AI into production software. Machine learning, deep learning, NLP and full-stack engineering, applied end to end: data pipelines, model training, inference infrastructure, and the product surface on top. Currently completing a B.Tech in CSE (AI & Machine Learning) at Malla Reddy University while running Neuroviai as a live commercial platform.
Journey
Education
Malla Reddy University · GPA 8.0/10
Languages
Reach me
From full-stack engineering to intelligent systems — what powers the code.
AI, LLMs & Agents
Machine Learning & Data
Backend & Databases
Frontend & Web
Cloud, DevOps & Tools
Expertise Areas
27 documented builds across live SaaS, AI systems, full-stack apps and developer tooling — part of 30+ public repositories.