Skip to content
View kunwar-vikrant's full-sized avatar
18 followers · 11 following
  • BITS Pilani | MITx

Achievements

Achievement: Galaxy BrainAchievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Galaxy BrainAchievement: Pull SharkAchievement: Pair ExtraordinaireAchievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Highlights

Block or report kunwar-vikrant

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
kunwar-vikrant/README.md

Building scalable, autonomous systems at the intersection of high-performance computing, generative models, reinforcement learning, and distributed infrastructure.

🚀 Highlights

  • Background: BITS Pilani (Computer Science) and MITx.
  • Experience: 6+ years shipping production-grade ML and high-performance distributed systems.
  • Philosophy: "Prefer code that ships and scales over code that sparkles."

🧠 Core Competencies & Architecture

Domain Engineering Paradigms & Capabilities
Systems Programming Concurrent & parallel computing, memory-safe backend services, high-throughput APIs.
Artificial Intelligence Deep learning architectures, large-scale model inference, agentic orchestration, scalable MLOps.
Distributed Data Real-time stream processing, distributed event streaming, stateful fault-tolerant pipelines.
Infrastructure & Scale Cloud-native architecture, container orchestration, distributed training clusters, auto-scaling compute.

🤝 Let’s Build Together

I am currently open to the following opportunities:

  • Consulting: High-performance distributed systems and agentic ML architectures.
  • Research: Collaborations focusing on multimodal AI, RL, and distributed training.
  • Advisory: Technical guidance and strategy for AI startups.

📫 Connect


LinkedIn QR

Pinned Loading

  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 3

  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