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  • BITS Pilani | MITx

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kunwar-vikrant/README.md
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   ║                 KUNWAR VIKRANT                     ║
   ║BITS Pilani | MITx – Engineer | AI HPC | Agentic AI ║
   ╚════════════════════════════════════════════════════╝

“In the cauldron of data and distributed systems, I brew intelligence—one spellbinding algorithm at a time.”

I am Kunwar Vikrant, an engineer from BITS Pilani, specializing in AI and high-speed distributed systems. My Innovation Lab is a cutting-edge hub where code converges with frontier tech, transforming systems and raw data into autonomous, scalable solutions. I push boundaries in distributed computing, generative AI, machine learning, and reinforcement learning with the relentless drive of a visionary.


🔬 PROFILE

  • Vision: Forging the future through ethical, high-impact AI and distributed systems.

  • Core Drive: Accelerating innovation from lab to launch, like a rocket to orbit.

  • Tech Stack: Python, Go, PyTorch, Kubernetes, FastAPI, Flask, Celery, MongoDB, Redis, Generative AI, Kafka, AWS SQS

  • Expertise Areas: Distributed Systems, Machine Learning, Deep Learning, Generative AI, Reinforcement Learning, Recommendation Systems, NLP, Predictive Analysis, Algorithms, Data Structures, A/B Testing, AWS (Lambda, SQS, CloudFormation, ECS), GCP (Vertex AI, BigQuery)

  • Infrastructure Tools: Apache Spark/Flink for distributed data processing

  • Domains: Distributed Computing, Generative AI, Machine Learning Mastery, Autonomous Systems, Recommendation Engines, Malware Detection, ML Infrastructure, Model Deployment, Model Monitoring, Vertex AI, Production ML Systems, End-to-End ML Pipelines, Distributed Team Collaboration, Research-to-Product Translation, Software Architecture

  • Current Focus: Developing multimodal AI for advanced systems .

  • Signature Approach: Algorithmic optimization for peak performance in dynamic environments.

Skills Badges ML-Pioneer RL-Innovator xAI-Visionary


⚡ ACTIVE PROJECTS

  • Lab Expansion: Integrating distributed AI systems with multimodal capabilities for next-gen applications.
  • Open-Source Contributions: Advancing projects in distributed systems, ML, and RL across GitHub.
  • Frontier Exploration: Diving into quantum computing integrations and advanced GenAI architectures.

📡 CONTACT HUB

Connect to collaborate on groundbreaking ventures:

Launch your inquiry for partnerships, tech discussions, or innovative challenges!

LinkedIn Neural Link QR

Scan this neural link to access my professional network instantly:

LinkedIn QR


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   ║  “Innovation in code, mastery in AI forever.”      ║
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  1. AgentForge AgentForge Public

    Create single agents or robust multi-agent systems from plain English. One command plans, generates, quality‑checks, and packages a runnable agent; another runs a supervisor + workers loop.

    Python 1

  2. aivy aivy Public

    Aivy, a fully open-source voice assistant

    Python 7 2

  3. Let-s-Learn-Tennis Let-s-Learn-Tennis Public

    Using reinforcement learning techniques to train two agents to play a game of tennis and keep the ball in play

    Jupyter Notebook 2

  4. Self-Driving-Car Self-Driving-Car Public

    This repo demonstrates a real world case study.The aim of this project is to create a model which can be used to design an autonomous vehicle system.

    Jupyter Notebook 4 1

  5. Netflix-Movie-Recommendation-Engine Netflix-Movie-Recommendation-Engine Public

    This repo demonstrates a real world case study and aims to solve a business problem, that is to Predict the rating that a user would give to a movie that he has not yet rated and minimize the diffe…

    Jupyter Notebook 3

  6. Continuous-Control Continuous-Control Public

    Using reinforcement learning techniques to train an agent to maintain its position at the target location for as many time steps as possible.

    Jupyter Notebook 2