Hi, my name is
Vaibhav Mishra.
Passionate Data Scientist
A final-year Computer Science student interning at Genpact with a fervent in Data Science and Artificial Intelligence. Proficient in C++ and Python, my Development journey began with Web Development. Looking to merge my technical skills with a data-driven vision for innovation.
Currently available for a full-time job
see my resumewhat i do
Data Science
PyTorch
Hugging Face
OpenCV
TensorFlow
OpenAI
- Build and Train Deep Neural Networks from scratch or Finetune existing ones to solve problem statements.
- Developed Framework for LLM Hallucination Detection in RAG Pipeline and reduced 70% cost.
- Built Custom Models for Image Similarity and Image Segmentation tasks with SOTA Accuracy.
full stack development
html-5
CSS-3
javaScript
typeScript
python
nodejs
reactjs
nextjs
tailwindcss
redux
database
- Building responsive static websites using Next.js
- Building responsive Multiple Page Apps in React.js
- Building RESTful APIs in Express
- Building Security features for OTP & Session Management using JS
UI/UX designing
figma
adobe photoshop
canva
- Experience in designing user-friendly interfaces with figma
- Experience in developing design systems and style guides
- Providing user-friendly design solutions
where i've worked
Data Science Intern @Genpact
January 2024 - July 2024
- Computer Vision team, building DNN and Statistical Models from scratch for business use-cases
- Trained UNET from Scratch (IOU - 88.9) and Segformer (IOU - 94.3) for Image Segmentation Task
- Built Siamese Network using MobileNetV@ from scratch for Image Simialirity Task, (Accuracy - 93.8%), (1min/Epoch on CPU)
- Retina Blood Vessel Segmentation using ResNet18, UNET, UNET++, SegFormer (IOU - 88)
- NLP Team, LLM Hallucination Detection using Tiny Language Models reduced cost by 70% (Accuracy - 75% and 84%)
my projects
what's next
get in touch
I’m currently looking for a full-time job or any new opportunities.
Whether you have a project to discuss or just want to say hi, my inbox is open for all!
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