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Achievements

Achievement: Pull Sharkx2Achievement: Starstruck

Achievements

Achievement: Pull Sharkx2Achievement: Starstruck

Highlights

Organizations

@TandMcorp @Vast-Group-Backend @quniq

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lucky-verma/README.md

Typing SVG 

$ whoami
> ML Engineer specializing in production AI systems
> 5+ years building agentic AI platforms, document processing, and GPU-accelerated pipelines
> MS Computer Science @ UMBC (GPA: 3.97) | Nashville, TN

$ cat skills.json
{
  "systems": ["High-Concurrency APIs", "GPU Optimization", "Production Inference"],
  "ai": ["LLM Fine-tuning", "RAG Architectures", "Agentic AI (LangGraph/DSPy)"],
  "stack": ["PyTorch", "TensorFlow", "FastAPI", "PostgreSQL", "AWS Bedrock"]
}

$ ls -lh projects/
total 6 items

drwxr-xr-x  InfiniteContext-1B/          # Experimental SLURM training pipeline
drwxr-xr-x  Document-Classification/     # LayoutLM multimodal (35⭐, 13 forks)
drwxr-xr-x  US-Driver-License-Extraction/ # Production OCR system (24⭐, 11 forks)
drwxr-xr-x  Biomedical-Signal-ML/        # PPG → ABP prediction (92% accuracy)
drwx------  AEGIS-Platform/              # 10M entities, 1000 users [proprietary]
drwx------  CodeCompliant-Tool/          # CodeQL + LLM (85% faster) [proprietary]

$ git log --oneline --graph achievements/
* 📈 108 GitHub stars across ML projects
* 🔒 85% time-reduction - security review
* ⚡ 60% GPU speedup via custom CUDA kernels

Tech Stack

languages: [Python, C++/CUDA, SQL, JavaScript]
frameworks: [PyTorch, TensorFlow, LangChain, DSPy, HuggingFace]
infrastructure: [Docker, FastAPI, AWS (Bedrock/EC2), PostgreSQL, Redis]
specializations: [CodeQL, Apache AGE, OpenCV, LlamaIndex, Triton]

💼 Open to ML Engineer / Applied AI roles (L4/E4)

Pinned Loading

  1. InfiniteContext-1B InfiniteContext-1B Public

    End-to-End MLSys Platform: From Distributed Training (SLURM) to SOTA Inference (Kubernetes)

  2. Document-Classification-using-LayoutLM Document-Classification-using-LayoutLM Public

    This PyTorch implementation of LayoutLM paper by Microsoft demonstrate the SequenceClassfication task using HuggingFaceTransformers to classify types of Documents.

    Jupyter Notebook 35 13

  3. US-Driver-License-data-extraction US-Driver-License-data-extraction Public

    Multi-approach ML pipeline for driver license data extraction using YOLO and OCR

    Jupyter Notebook 24 11

  4. ABP-estimation-using-PPG ABP-estimation-using-PPG Public

    PyTorch implementation of Estimating Arterial blood pressure (ABP) using Photoplethysmogram (PPG) signals.

    Jupyter Notebook 10

  5. Sleep-Awake-Classifiation-using-PPG Sleep-Awake-Classifiation-using-PPG Public

    PyTorch implementation of sleep-stage classifier using photoplethysmography (PPG) data.

    Jupyter Notebook 17 3

  6. information-retrieval information-retrieval Public

    RAG pipeline for AWS case studies: vector search, rerank, synthetic QA, fine-tuned LLaMA 3 8B. ChromaDB, sentence-transformers, Unsloth/LoRA.

    Jupyter Notebook 1