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vibhu-dixit/README.md

πŸ‘‹ Hi, I'm Vibhu Dixit

πŸŽ“ Graduate Computer Science @ Arizona State University (MS, 2024–2026)
πŸ’‘ Full stack engineer with focus in Agentic AI, LLM Optimization, and Fullstack Engineering
🌐 Building production-ready ML systems, inference-optimized agentic workflows, and scalable ETL/ELT pipelines on AWS.


πŸ”§ Tech Stack

πŸ–₯️ Languages

  • Python icon Python
  • C++ icon C++
  • MySQL icon SQL
  • TypeScript icon TypeScript

πŸ€– Machine Learning & AI

  • PyTorch icon PyTorch
  • TensorFlow icon TensorFlow
  • OpenCV icon OpenCV
  • OpenAI SDK icon OpenAI SDK
  • LangChain icon LangChain

πŸ”„ Data Engineering

  • Kafka icon Apache Kafka
  • Airflow icon Apache Airflow
  • Spark icon Apache Spark
  • Iceberg icon Apache Iceberg

☁️ Cloud & MLOps

  • AWS icon Amazon Web Services (AWS)
  • Git icon Git
  • Docker icon Docker
  • Github Actions icon Github Actions

πŸ“Š Tools & Visualization

  • NumPy icon NumPy
  • Pandas icon Pandas
  • Pandas icon PostgreSQL
  • Pandas icon Streamlit

πŸ’Ό Experience

Software Engineer(AI) Intern – Privv (Jan 2026 – May 2026)

  • Engineered a bulk invoicing pipeline using AWS Textract for OCR extraction, mapping, and storage automation.
  • Architected agentic customized reporting features for project managers, improving decision support and data flow.
  • Built modular RESTful microservices and test suites to improve reliability and production stability for AI workflows.

Data Engineer Intern – Alcon (Feb 2024 – Aug 2024)

  • Designed ETL pipelines processing 50M+ events/day on AWS (EC2, S3, RDS).
  • Improved deployment cycles by 43% with CI/CD workflows.
  • Reduced feature retrieval latency by 38% with schema validation & partitioning.

Deep Learning Intern – Bhargava Infotech (Aug 2023 – Feb 2024)

  • Built distributed CNN training pipeline on SageMaker, reducing costs by 12%.
  • Processed 9GB+ geospatial data in PyTorch, boosting model F1-score by 17%.
  • Deployed models with drift detection monitoring.

Open Source Contributions

DeerFlow (ByteDance)

Contributed a bug fix to DeerFlow's LangGraph integration by resolving a configuration propagation issue affecting modern LangGraph SDK clients.

Highlights

  • Identified root cause in gateway configuration handling
  • Implemented fix for LangGraph 0.6+ context-based requests
  • Added regression coverage to prevent future breakage

PR: bytedance/deer-flow#3735


πŸš€ Projects

  • Hiiv β†’ Multi Agentic system for sessioned debates(3 mins), leading to better decision making, backed by arguements of different personas.
  • Hotel Booking Agent β†’ Multi-channel AI concierge with SMS/web booking, voice STT pipeline, and Python/FastAPI/PostgreSQL backend.
  • Mavenly β†’ AI powered CRM intelligence based on knowledge graph structure.
  • Efficient LLaMA-2 Optimization β†’ Reduced inference latency (20%) & memory (14%) with GMQA, RoPE & LoRA.
  • OpenMonitor β†’ Real-time YOLOv8 surveillance system (πŸ† Hackathon runner-up).
  • ZeroETL β†’ Open-source PySpark ingestion library for Apache Iceberg with deduplication and snapshot management.

🌐 Connect With Me

πŸ“« Email Β· LinkedIn Β· GitHub


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