Hello, I'm Vishesh an Integrated M.Tech. Postgraduate From Vellore Institute of Technology, Vellore, Where I Focused My Research on Security and Privacy Challenges in Distributed Machine Learning Systems. I Work at The Intersection of Backend Engineering and Machine Learning, With a Strong Foundation in Deploying Scalable ML Pipelines and Building Robust, Cloud-Native Infrastructure.
Skills
Kotlin/Java, Rust, Go, JS/TS, Python, Dart, Elixir, Clojure, Shell, C, C++, R, Scala and Other Languages
React, Vue, Nuxt, Yew, WebAssembly
Tailwind CSS, SaSS
TeX and LaTeX
Node.JS, ASP.NET Core, Flask, FastAPI, GraphQL, Phoenix and Other Web Frameworks
MongoDB, MySQL, NoSQL
Native Android, Flutter, React Native
Docker
Kubernetes
TensorFlow
Terraform
Designation
As a Software Engineer (Rust) at 9Point Capital (Subsidiary of 63 Moons), I Design and Develop High-Performance Backend Systems that Form the Backbone of Our Fintech Trading and Analytics Platform. My Work Focuses on Building Low-Latency, Concurrent Microservices Using Rust, Tokio, Axum, and gRPC, Engineered for Maximum Throughput, Reliability, and Security. I Work Closely with Quant and Trading Teams to Translate Complex Financial Models into Production-Ready Distributed Systems, Ensuring Seamless Integration With Real-Time Market Data, Risk Engines, and Execution Pipelines. Beyond Core Backend Work, I Contribute to CI/CD Automation, Containerized deployments, and Infrastructure Optimization using Docker and Traefik. Every Piece of the System I Touch is Built with One Goal to Make Finance Faster, Safer, and Smarter Through Rust’s Uncompromising Performance. Building the Future of Fintech Where Speed, Reliability, and Safety Meet Financial Innovation one Rust Crate at a Time.
Experience
Machine Learning Engineer Intern at Tune AI - ML-Ops Engineer Intern Experienced in Deploying and Optimizing Machine Learning Models for Production Environments - June 2023 to Feb 2024
Interned as an Golang Developer and UI/UX Designer at Economize.Cloud (Seamlessly Integrated GCP and SendGrid API Using the Go Programming Language) - January 2022 to July 2022
Aeon Keys - Aeon Keys is an Experimental Wavetable Synthesizer Built with Rust, WebAssembly, and the Web Audio API. It’s Inspired by Modern Soft-Synths like Xfer Serum, but re-imagined as a Browser-based, Hackable Playground.
StableDiffusion FastAPI - This Project is a FastAPI Application That Serves a Stable Diffusers Model over HTTP/REST APIs. It Allows Users to Generate Images Using the Stable Diffusion Technique.(NimbleBox Apprenticeship ML Engineer Task - 2)
LLM FastAPI - This Project Demonstrates the Implementation of a Language Model Server using FastAPI and gRPC. It Leverages a Large Language Model to Generate Coherent Text Based on User Input.(NimbleBox Apprenticeship ML Engineer Task - 1)
CLI Todo - Experimental CLI Built With GoLang, Postgre and Redis, Redis is Used to Handle Inserts During High Load, And New Records are Inserted into PostgreSQL With a Small Delay Using Batch Insert Operations. The Todos Entered in the CLI are Stored in a Database (Postgres). The Data Fetched From the Database is Cached in Redis.
Skin - Prevention of Session Hijacking using Session ID Reset Approach with the Implementation of Kerberos Algorithm Written in GoLang and Rust Separately.
Prisonic Fairytale - Prisonic Fairytale - A Massively Multiplayer Online RPG Inspired by The Classic Style of Chrono Trigger, Developed Using the Godot Engine for The Game Client, Elixir for Highly Concurrent Backend Infrastructure, and Docker for Scalable Deployment. Unlike Typical Clones, This Project Emphasizes a Retro Aesthetic While Supporting Real-Time Multiplayer Gameplay and World Persistence, Powered by Elixir’s Fault-Tolerant Architecture. It Reimagines SNES-era RPG Charm with Modern Distributed Systems for Seamless, Large-Scale Player Interaction. Prisonic Fairytale Name is Derived From Silent Hill - 2 Original Soundtrack - Prisonic Fairytale Soundtrack on Apple Music.
Electric Funeral - A Combination of Software Defined Network (SDN) And A Multi-Layer Perceptron (MLP) Neural Network That Results In The Mitigation of DDoS Attacks.
Xen - A Personal Portfolio Website and Blog CMS Built From Scratch with Rust, Rocket, Docker, JavaScript, HTML, Tailwind CSS, TeX, and Makefile Automation. This Project Serves as Both my Digital Identity and an Engineering Sandbox for Experimenting with Modern Backend, Frontend, and Deployment Workflows.
Neural Network Art - A Neural Network That Generates Pieces of Art/Pictures Using Clojure.
Vostok - Vostok is a Rust-Based HTTP Transformation Layer To Seamlessly Convert REST Calls Into GraphQL Calls For Piecemeal API Migrations.
Evangelion - Decentralized Chat Application Built With Node.js, Aleph.im, Docker, Tailwind CSS & Yew (Rust Frontend Framework).
Audio Arca - This is an Experimental Audio and Text Chat Client-Server Application Written in Go, Designed to Test and Evaluate the PortAudio I/O Architecture. It Enables Real-Time Communication while Focusing on Audio Stream Handling, Network Performance, and System-Level Concurrency, Serving as a Foundation for Low-Latency Audio Applications.
Neo Rust & Neo Go - Neo is an Ultra-Minimal HTTP Server That Serves a Single File in Response to Every GET Request, With all Other HTTP Methods or Paths Returning a 404. The File to Serve is Provided via an Environment Variable or CLI Argument. Developed Separately in Rust and Go, Neo is Built Purely for Speed and Simplicity Neo-Rust Outperforms Miniserve by 2x, Which is Expected due to its Laser-Focused Functionality. It’s ideal for Testing, Embedding, or Environments Where only one Static File Needs to be Served Nothing More.
dbench - Benchmark Kubernetes Persistent Disk Volumes With FIO: Read/write IOPS, Bandwidth MB/s and Latency. Dockerized `dbench` Image Inspired by leeliu/dbench - Improvements Over Other `dbench` FIO_IOENGINE - Being Able to Set The `ioengine` Can Prevent Weird Situations Where Direct Looks Faster than Buffered Writes.
Go Based Sitemap Crawler for SEO (Search Engine Optimization) - A Go-Based Sitemap Crawler for Extracting SEO (Search Engine Optimisation) Data From Websites. This Tool Automates the Discovery and Parsing of Sitemaps to Retrieve URLs and Gather Key SEO Metrics Such as Page Titles, H1 tags, and Meta Descriptions. It's Designed to Support Concurrency, Adhere to robots.txt Protocols.