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Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Achievements

Achievement: Pull Sharkx3Achievement: YOLOAchievement: Quickdraw

Highlights

  • Pro

Organizations

@Dynamic-Road-Monitoring-and-Safety-Proj

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asp616848/README.md



👋 About me

I'm Abhijeet — a full-stack + AI engineer who likes taking products from a rough idea to something real users depend on. Currently a Product Intern at Adobe building agentic AI tooling for Journey Optimizer, while running Acadika (an agentic AI automation venture for schools) and leading engineering on SadakVision, an SDG-11 road-safety platform built with the Dixon IoT Lab under a Punjab Police MoU.

  • 🎓 B.Tech Computer Science & AI @ Plaksha University · Data Science (Diploma) @ IIT Madras
  • 🧠 Currently shipping: agentic pipelines, real-time voice agents, and computer-vision-driven monitoring systems
  • 🏆 $30,000 Assembly AI grant + $2,000 Google Vertex AI grant for Acadika · 1st prize @ Dot-Slash Hackathon (565 teams)
  • 💬 Ask me about Android (MVVM/DI), agentic AI systems, real-time voice pipelines, or computer vision
  • 📫 abhijeet.shash@gmail.com

🚀 Flagship builds

🚦 SadakVision

AI-powered road safety & traffic monitoring, built with Prof. Srikant Srinivasan's Dixon IoT Lab under an MoU with Punjab Police.

  • SDG-11 aligned mobile app + IoT module, designed for accessibility for non-tech-savvy users
  • Dynamic environment monitoring at 73% lower cost than state-of-the-art alternatives
  • AI-driven analysis of driver behavior, congestion, road quality, and weather
  • Led a 5-person team; shipped 30%+ gains across 4 performance/scalability metrics

🔗 Live site · LinkedIn

📚 Acadika

Agentic AI automation for schools — my own entrepreneurial venture.

  • Automates routine academic/admin workflows, saving 5–9 hrs/week/user
  • Piloted with 100–750 real users, iterating on live feedback
  • Real-time voice agent at ~800ms latency via Google ADK + WebSockets
  • Own product & engineering end-to-end: Railway, AWS, Supabase, Weaviate

🔗 Live site · LinkedIn

🧩 Experience

When Role Highlight
2026 – Present Product Intern, Adobe Systems Built customer-facing features for AJO's debugging/review flow; shipped an agentic data-processing pipeline & journey-review copilot used by thousands of marketers — the core micro-service is now a foundational library for other teams
2026 – Present Founder, Acadika Agentic AI automation for schools — see above
2025 ML Engineer, Tranzmit Engineering Deployed a 4-layer voice agent at 1150ms latency handling 100 concurrent calls on AWS; built the domain's only dashboard surfacing 10+ behavioral parameters with in-call source citation
2025 Freelance Business Analyst & Web Developer Automated 100+ manual hrs/month for 2 businesses; digitized ₹40L+ in annual fee transactions; improved on-time payments by 39%
2024 – Present Android Dev Intern & Team Lead, Dixon IoT Lab SadakVision — see above

🛠️ Other builds worth a look

Project What it does
CrossStyloGAN Transformer-enhanced handwriting-imitation GAN — FID 4.36, WER 2.48, via an HTR → GPT → GAN pipeline
Smart Cataloging (CV) 5-layer image → product-listing pipeline; cut listing time 83%, boosted match accuracy 26% via OCR + fuzzy matching
AdaptiveBandit Contextual bandits for real-time customer-service decisioning
live-call-insight Flask + Gemini-powered real-time call analytics/insight dashboard
bank-vigil-live Live fraud/risk-monitoring dashboard — device fingerprinting, bot detection, keystroke dynamics
jarvis-portal-verse Society web platform built for Jarvis Society, IIT Madras — boosted sign-ups/reach by 60%

🧰 Tech I work with

Python Kotlin Java C++ TypeScript Android PyTorch AWS Supabase PostgreSQL Linux Git



a snake eating my GitHub contribution graph

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  1. Ecommerce-smart-cataloging-with-computer-vision Ecommerce-smart-cataloging-with-computer-vision Public

    Forked from warun7/dotslash-repo

    Won 1st prize in Sponser and New Frontiers Tracks in DotSlash Hackathon with 255+ participants. Streamlines switching to ecommerce for offline grocery retailers.

    Jupyter Notebook 4

  2. handwriting_autocomplete_system handwriting_autocomplete_system Public

    Forked from akshat3144/handwriting_autocomplete_system

    A deep learning–based system for predicting and auto-completing handwriting in real time. The system captures pen strokes, recognizes handwritten text, predicts the next word, and renders it in the…

    Jupyter Notebook 1

  3. Glioblastoma-ML-model Glioblastoma-ML-model Public

    Survival Prediction of GlioBlastoma Patients using Ensemble architecture of random forest, xgboost and logistic regression classifiers. Uses Optuna for tuning, SMOTE for imbalances, CNN for feature…

    Jupyter Notebook 5 1

  4. AI-Itinerary-Agent AI-Itinerary-Agent Public

    AI powered agent for complete user specific travel planning

    JavaScript 3

  5. MentorHakka MentorHakka Public

    Mentor app in this project is a native android app made with the problem in mind that often we find ourselves struggling with our life's challenges and end up maybe unsatisfied or in poor mental st…

    Kotlin 6

  6. Kotlin-News-App Kotlin-News-App Public

    Part of a workshop I conducted to teach Android App development to BTech UnderGrads at Plaksha University while building an app with individual touch! Made using News API

    Java 5 10