Hello there, I’m a Software Engineer specializing in AI/ML, pursuing Masters in Computer Science at University of Florida .
Experience
Klaar Digital Solutions
Backend Developer
Jan 2024 – Sep 2024
Integrated GenAI chatbot functionalities using LangChain and natural language processing models, connecting with Salesforce, Jira, and Slack to automate workflows and reduce task delays by 25%.
Leveraged Apache Kafka for efficient inter‑service communication, optimizing message passing and streamlining workflows, resulting in a 45% reduction in latency.
Conducted extensive code refactoring and quality enhancements for Django‑backed systems deployed on Kubernetes, improving CI/CD pipelines with Sonar for automated code quality checks, accelerating development cycles.
Indore Pack Pvt. Ltd.
DevOps Intern
May 2023 – Jul 2023
Established self‑hosted development, API, and email servers on Cloudflare Zero Trust with SSO, enhancing system reliability.
Boosted SEO and improved rendering by optimizing images, assets, and documents, resulting in a 45% reduced payload on an edge‑deployed frontend.
Implemented automated backups and uptime monitoring for critical services, strengthening reliability and incident response.
Education
University of Florida
Master of Science, Computer Science
Jan 2025 – Dec 2026
GPA: 4/4, Top 1% in classTrustworthy Machine Learning; Advanced Data Structures; Computer Networks; Distributed Operating Systems; Database Systems; Software Engineering
1 of 4 students selected (from 400+) for a competitive 6‑month program based on merit in the USA.
Jaypee University of Engineering and Technology
Bachelor of Technology, Computer Science
Aug 2021 – May 2025
GPA: 9.4/10; Specialization: Artificial IntelligenceOperating Systems; Database Systems; Computer Networks; Object‑Oriented Programming; Data Structures & Algorithms; Digital Systems & Microprocessors; Computer Organization & Architecture
Machine Learning, Artificial Neural Networks, Deep Learning, Soft Intelligence, Reinforcement Learning.
Projects
Real Time Monitoring
Dynamic Time Tracking App Suite
GitHub Cross‑platform suite with a Go‑powered REST API, CLI utility, and a Chrome extension to capture and analyze user activity.GoSQLiteChrome Ext
Implemented observation tooling for Linux/X11, Windows/WinAPI, and macOS/JXA to provide cross‑platform insights.
Designed a performant backend in Go: REST APIs with Gorilla Mux, data persistence with GORM and SQLite, and a Cobra‑based CLI.
Built a Manifest V3 Chrome extension using message passing and chrome.storage.sync for data handling and persistence.
Genetic Algorithms
Adaptive Neuron Simulation
Demo Rust + WebAssembly simulation modeling neuron survival behaviors with an interactive OpenGL visualization.RustWebAssemblyOpenGL
Developed a genetic algorithm in Rust and WebAssembly to model neuron survival behaviors through mutation and crossover strategies, achieving 95% validation in predicting neuron adaptation.
Created an interactive visualization on top of OpenGL that dynamically illustrates neural adaptation and survival strategies.
MLOps & Automation
Machine Learning Playground
Demo Automation tooling in Rust and Python with a Svelte UI for rapid setup, training, and comparison of ML experiments.RustPythonSvelte
Engineered an automation tool in Rust and Python to streamline ML model training and comparison, reducing development setup time by 70%.
Built an interactive web app using Svelte and Node.js, integrating Protobufs, gRPC, and Redis caching, which accelerated large dataset predictions by 40% and retained query history.
Integrated various ML models including Hugging Face transformers, PyTorch, and TensorFlow, enabling seamless experimentation and deployment.
Browse through the rest of my projects on GitHub .
Skills
- PyTorch, scikit, LangChain
- Model training, evaluation, and GenAI integrations for practical applications.
- CUDA & Vulkan
- Parallel compute and graphics pipelines; accelerate workloads where it counts.
- Docker, Terraform, GCP/AWS
- Automated provisioning, CI/CD, observability, and secure infrastructure.
- Tailscale, Proxmox, Nix
- Networking, hypervisors, reproducible systems, and developer productivity.
- Systems & Backends
- Build reliable services, CLIs, and low‑latency systems with strong concurrency and type safety.
- Data & ML
- Prototyping, data wrangling, and ML tooling for experimentation and pipelines.
- Performance
- Low‑level programming, memory management, and performance‑critical components.
- Web
- Interactive UIs and tooling; comfortable across front‑end build and integration.
AI/ML
GPGPU
DevOps & Cloud
Infra & Tools
Rust & Go
Python
C/C++
JS/TS & Svelte
Get In Touch
Have a question, idea, or just want to connect? Just shoot
me an email at [email protected]