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Achievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: YOLO

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abhinavaditya811/README.md

Hello! I'm Abhinav Aditya

Data Scientist | AI Engineer | Full-Stack Engineer | Software Engineer

Portfolio LinkedIn

📖 About Me

I work with models everyday.

From my first C++ class in 11th grade to building AI systems at scale, I've been driven by solving real-world problems through technology.

I'm pursuing my Master's in Data Analytics Engineering at Northeastern University (GPA: 3.92/4.0), building on my B.Tech from Manipal University Jaipur. As a Software Development Engineer at Agentdesks (Radius Agent subsidiary), I developed AI chatbots and RAG systems for 70,000+ real estate professionals, while architecting CI/CD pipelines that cut build times by 57%.

Currently, I'm working on CiteConnect —an academic literature recommendation system combining semantic search with citation graph analysis. I'm building the complete MLOps pipeline on GCP to help researchers discover relevant papers more efficiently.

Beyond tech, I bring leadership experience as a former sports captain and competitive athlete. Whether training for marathons or diving into the latest AI research, I approach every challenge with analytical thinking and determination.

I thrive at the intersection of AI, data engineering, and product development—transforming complex problems into scalable solutions.

📈 Annual Activity

Snake animation

🛠️ Tech Stack

💻 Programming & Core Languages

Python SQL C++ JavaScript TypeScript Java Tailwind

🧠 AI, LLMs & Machine Learning

Gemini Claude Llama2 LangChain RAG Fine-Tuning HuggingFace Reinforcement Learning Computer Vision BERT XGBoost n8n

🏗️ Full-Stack, SWE & DevOps

Flask SQLAlchemy REST API AsyncIO Docker GitHub Actions Git Unit Testing

☁️ Cloud, Data & Infrastructure

GCP AWS Azure Airflow Spark PostgreSQL MongoDB DBeaver Linux

📚 Libraries & Specialized Tools

Pandas NumPy PyTorch TensorFlow Keras Postman Jupyter

📬 Let's Connect

Pinned Loading

  1. LiM LiM Public

    An intelligent orchestration layer that cuts 90% of LLM costs by routing tasks to the correct, hyper-efficient small model paradigm.

  2. Cite-Connect/CiteConnect-DataPipeline Cite-Connect/CiteConnect-DataPipeline Public

    Python 1 1

  3. Cite-Connect/CiteConnect-ModelPipeline Cite-Connect/CiteConnect-ModelPipeline Public

    Python

  4. Cite-Connect/pulp Cite-Connect/pulp Public

    TypeScript