Hugging Face Deep Reinforcement Learning Excellence

Deep Learning Specialization

Build Basic Generative Adversarial Networks (GANs)

Machine Learning

Crework

Crework Fellow

Helping my city to become an Al hub and inspiring my community to break into AI by organising AI and Data centric events and workshops.

Pie and AI ambassador

Bachelor of Technology - BTech

- Played a pivotal role in the development of two groundbreaking research projects, aimed at advancing the fields of code generation and large language models for code.
- Developed and evaluated the mathematical reasoning strategies to assess the logical and reasoning capabilities of models.
- Develpoed whole pipeline to train / assess the performance on re-creating the optimized functional code from bottleneck and in-efficient code

Projects:
1. StarCoder: may the source be with you!
StarCoder 15.5B params multi-lingual code-gen model with 8K context length, infilling capabilities and fast large-batch inference. Trained on 1 trillion tokens, and outperforms the OpenAI code-Cushman-001 model.

2. OctoPack: Instruction Tuning Code Large Language Models
Utilized Git commits to instruct-tune code LLMs, developed CommitPack, 4TB of permissively licensed code commits data. HumanEvalPack, A benchmark for Code LLM generalization, spanning three scenarios and 6 programming languages. And fine-

Open Source Research Engineer

- Developed Deep Learning models for business market growth from domains of Computer Vision and Language modelling.
- Engineered a comprehensive API to automate the conversion of a pretrained model into ONNX format and its seamless deployment via Nvidia Triton Server, culminating in a 12% reduction in VM load
- Developed custom CUDA kernels to accelerate 3D image processing for medical scans. Achieved a 2x speedup in segmentation tasks compared to existing CPU-based solutions, thereby improving the overall throughput of the system.
- Worked on state-of-the-art techniques like DreamBooth, Dichotomous Image Segmentation
- Supporting model deployment team in model code analysis and optimizations for DeployX

Machine Learning Engineer Intern

- Mentored final year undergraduate students in their course of Machine Learning.
- Evaluated and improved the projects developed by students.

Applied Machine Learning Instructor

- Assisted in the development and implementation of predictive models to optimize customer retention and demand forecasting, which led to a 25% increase in user engagement.
- Utilized statistical analysis and machine learning techniques to identify infrastructure issues and developed mitigation methodologies.
- Made core contributions to Scaler modules in Data Science and Machine Learning.

Data Science Intern

DS - Scaler | ex MLE - dataX.ai | Amazon ML Summer School '23 | Research (NLP & RL) BigCode | Applied ML Instructor

github

devto

hashnode

Know about Swayam Singh’s work experience, education, cohorts, certifications, and much more. Swayam Singh