Skip to content
View snehashis1997's full-sized avatar
:octocat:
Let's chat
:octocat:
Let's chat

Highlights

  • Pro

Block or report snehashis1997

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
snehashis1997/README.md

Hi, I'm Snehashis 👋

My animation

স্বাগতম | Welcome | नमस्ते | Hola | Guten Tag


💡 About Me

I am a Senior Research Engineer working at Videonetics Technology Private Limited, focusing on multimodal AI systems that combine vision + language + edge deployment.

My work lies at the intersection of:

  • Vision-Language Models (VLMs)
  • Large Language Models (LLMs) & Small Language Models (SLMs)
  • 3D Computer Vision & Computational Imaging
  • Mobile / Edge AI Inference
  • Real-time Intelligent Systems

🔭 Current Work

  • 🚀 Building end-to-end multimodal AI systems (Vision + Language)
  • ⚙️ Developing pipelines using LangChain and LangGraph
  • 📱 Optimizing models for on-device/mobile hardware inference
  • 🧠 Working on efficient and scalable AI systems for real-world deployment

🧪 Research Interests

  • 3D Computer Vision & Multi-View Geometry
  • Neural Rendering (NeRF, 3D Reconstruction)
  • Computational Imaging
  • Vision-Language Alignment
  • Edge AI & Efficient Deep Learning

💼 Experience

🏢 Senior Research Engineer

Videonetics Technology Private Limited
📅 Dec 2025 – Present

  • Working on Vision-Language Models (VLMs), LLMs, and edge AI systems
  • Building multimodal intelligent pipelines for real-time applications
  • Optimizing AI inference on mobile and edge hardware

🧪 Project Associate (Computational Imaging Lab)

IIT Madras
👨‍🏫 Advisor: Prof. Kaushik Mitra
📅 Feb 2025 – Nov 2025

  • Worked on 3D Computer Vision and Computational Imaging
  • Focused on multi-view geometry and 3D reconstruction
  • Explored advanced vision pipelines for real-world imaging systems

🏢 Research Engineer

Videonetics Technology Private Limited
📅 Apr 2021 – Jan 2025

  • Developed real-time video analytics systems
  • Built edge-optimized deep learning models
  • Worked on large-scale video datasets and smart city applications
  • Designed efficient and scalable AI pipelines

🛠 Tech Stack

Languages & Frameworks

  • Python, C++, PyTorch, OpenCV

AI / ML

  • Deep Learning, Computer Vision, Multimodal AI
  • VLMs, LLMs, SLMs

Tools & Systems

  • LangChain, LangGraph
  • TensorRT, TFLite, ONNX
  • Edge / Mobile AI Deployment

📌 Projects & Work

👉 Check out my repositories for:

  • Multimodal AI systems
  • 3D vision and geometry
  • Edge AI inference pipelines
  • Real-time video analytics

🌱 Currently Learning

  • Advanced 3D Vision & Neural Rendering
  • Efficient multimodal models
  • Scaling LLM + Vision systems on edge devices

💬 Ask Me About

  • Computer Vision
  • 3D Geometry
  • Multimodal AI
  • Edge AI Deployment
  • Deep Learning Systems

🔗 Connect with Me


📊 GitHub Stats

Snehashis's GitHub stats

Top Langs


✨ Favourite Quote

"চিত্ত যেথা ভয়শূন্য, উচ্চ যেথা শির"
— Rabindranath Tagore

"Where the mind is without fear and the head is held high"


Always exploring the intersection of Vision, Language, and Intelligence

Pinned Loading

  1. Malaria-net Malaria-net Public template

    Design a CNN based Binary classification model which classifies between normal and parasitized malaria cells. Add Class activation mapping (GRAD CAM) for better explainability of the model. Add par…

    Jupyter Notebook 1

  2. Implementing-Deep-Learning-in-the-field-of-Radiology Implementing-Deep-Learning-in-the-field-of-Radiology Public

    In my internship at “RAD365 Technologies Inc”, I was design various classification and segmentation CNN models using Python Keras, Opencv, Sklearn etc. libraries. Here I implement CNN models for CT,…

    Jupyter Notebook

  3. Achilles-resolute-internship-work Achilles-resolute-internship-work Public

    During my internship at “Achilles Resolute Private Limited” I used Deep learning-based segmentation algorithms to segment out below 40 days of baby's retinopathy images and also calculate the tortu…

    Jupyter Notebook 1

  4. BlurNet BlurNet Public

    Design a CNN based deep learning model which classify both blurred and not blurred versions of a data set where at least one class is extremely rare i.e it is a highly unbalanced dataset and deplo…

    HTML 1

  5. Determine-heart-rate-from-a-digital-stethoscope-using-Machine-learning Determine-heart-rate-from-a-digital-stethoscope-using-Machine-learning Public

    I worked Sensordrop Networks from 20th July,2020 to 20th Sept,2020 as an intern. During this time I worked with Heart beat signals as .wav format. My work was to build a statistical model to predic…

    Jupyter Notebook 2 1

  6. Audio-Based-Mood-Detection-Classifier Audio-Based-Mood-Detection-Classifier Public

    This is my work in SkyBits Technologies Pvt Ltd (http://sky-bits.com/) from 1st August 2019 to 30th September 2019. During this time, I was to design a novel machine learning-based model were using…

    Python