Internship Impact
Built predictive ML workflows at Atharvo and shipped a Flask-backed depression prediction app grounded in real data preparation and feature engineering.
Available for software engineering opportunities
Greater Noida, India
Building low-latency systems, ML products, and meaningful open source improvements.
I'm Deepak Chauhan, a computer science graduate who enjoys shipping C++ infrastructure, machine learning applications, and carefully scoped contributions inside large engineering codebases.
Open source contributor
Low-latency C++ builder
Machine learning practitioner
Profile
Deepak Chauhan
B.Tech. Computer Science graduate with a foundation in systems, machine learning, and production-minded open source collaboration.
DC
Greater Noida, Uttar Pradesh
480+
LeetCode problems solved
10k+
Orders per second processed
27.5k
Largest repo contributed to
74%
Depression model accuracy
About
A portfolio shaped by systems thinking and iteration speed.
The resume points to a consistent pattern: building performance-sensitive software, translating machine learning work into usable interfaces, and contributing thoughtfully in real-world repositories.
I enjoy problems that require both technical depth and practical delivery. That includes performance tuning in C++, experiment-driven model work in Python, and reading through large codebases carefully enough to make small but meaningful improvements.
Competitive Practice
480+ LeetCode problems and Codeforces performances have sharpened algorithmic thinking, debugging speed, and implementation discipline.
Open Source Signal
Contributions across GitNexus, emdash, and Microsoft Aspire show comfort with established codebases, type-safe workflows, and production-minded engineering collaboration.
Open Source
Contributions that scale beyond personal projects.
These contributions show the kind of environments I like working in: established repositories, strong engineering expectations, and changes that improve reliability for real users.
27.5k stars
GitNexus
abhigyanpatwari/GitNexus
Recognized contributor to a zero-server code intelligence engine built in TypeScript for interactive codebase knowledge graphs.
Shipped an April 2026 bug fix in a Graph RAG and MCP-enabled monorepo.
TypeScript
Graph RAG
MCP
9.4k stars
emdash
emdash-cms/emdash
Contributed to a full-stack TypeScript CMS on Astro with a strong focus on type safety and plugin architecture.
Improved developer-facing reliability inside a large open source codebase.
TypeScript
Astro
Plugins
5.8k stars
Microsoft Aspire
microsoft/aspire
Contributed to Microsoft's code-first platform for building observable cloud-native applications.
Worked inside a production-grade ecosystem with extensibility at its core.
.NET
Cloud Native
Observability
27.5k stars
GitNexus
abhigyanpatwari/GitNexus
Recognized contributor to a zero-server code intelligence engine built in TypeScript for interactive codebase knowledge graphs.
Shipped an April 2026 bug fix in a Graph RAG and MCP-enabled monorepo.
TypeScript
Graph RAG
MCP
9.4k stars
emdash
emdash-cms/emdash
Contributed to a full-stack TypeScript CMS on Astro with a strong focus on type safety and plugin architecture.
Improved developer-facing reliability inside a large open source codebase.
TypeScript
Astro
Plugins
5.8k stars
Microsoft Aspire
microsoft/aspire
Contributed to Microsoft's code-first platform for building observable cloud-native applications.
Worked inside a production-grade ecosystem with extensibility at its core.
.NET
Cloud Native
Observability
27.5k stars
GitNexus
abhigyanpatwari/GitNexus
Recognized contributor to a zero-server code intelligence engine built in TypeScript for interactive codebase knowledge graphs.
Shipped an April 2026 bug fix in a Graph RAG and MCP-enabled monorepo.
TypeScript
Graph RAG
MCP
9.4k stars
emdash
emdash-cms/emdash
Contributed to a full-stack TypeScript CMS on Astro with a strong focus on type safety and plugin architecture.
Improved developer-facing reliability inside a large open source codebase.
TypeScript
Astro
Plugins
5.8k stars
Microsoft Aspire
microsoft/aspire
Contributed to Microsoft's code-first platform for building observable cloud-native applications.
Worked inside a production-grade ecosystem with extensibility at its core.
.NET
Cloud Native
Observability
Projects
Proof through shipped work.
The portfolio centers on three themes from the resume: low-latency systems, machine learning applications, and finance-oriented tooling with practical interfaces.
Low-latency systems engineering with C++.
High Frequency Trading System
Architected a trading system around Kite Broker's API for real-time market data and faster execution, then engineered a low-latency order book with asynchronous processing.
150 ms latency reduction
10,000+ orders/sec
99.99% accuracy
C++
Boost
ProtoBuf
Google Test
Computer vision workflow optimized for iteration speed.
Skin Disease Classification
Built a CNN pipeline that automated preprocessing and labeling, then improved model generalization using augmentation techniques for stronger classification performance.
6 hours saved weekly
15% accuracy improvement
Streamlit demo shipped
Interactive analytics for faster trading decisions.
Black-Scholes Option Pricing
Developed and deployed a real-time pricing dashboard using market data, numerical methods, and adjustable volatility parameters for call and put visualization.
20% faster decision-making
Live pricing dashboard
Adjustable volatility analysis
Experience
Hands-on ML work backed by a strong CS foundation.
The internship and degree work reinforce each other: applied experimentation on one side, and core systems and theory on the other.
Aug 2024 - Sep 2024
Machine Learning Intern @ Atharvo
Boosted predictive outcome accuracy by 30% through data cleaning, exploratory analysis, feature engineering, and Support Vector Classification.
Designed a depression prediction application with 74% accuracy and integrated a Flask-based interface for user interaction.
Sep 2021 - May 2025
B.Tech. in Computer Science and Engineering
Lloyd Institute of Engineering and Technology
CGPA: 7.5 / 10.0
Data Structures and Algorithms
Operating Systems
Computer Networks
DBMS
Computer Architecture
Computational Theory
Skills
A toolbox that spans systems, ML, and product delivery.
Instead of listing everything in one place, the site groups the resume skills into the categories that best reflect how the work gets done.
Programming Languages
C
C++
Python
JavaScript
Rust
Frameworks and Libraries
TensorFlow
Keras
Streamlit
React
Flask
Databases and Tools
MySQL
MongoDB
Docker
Redis
Firebase
Git
GitHub
Jupyter
Engineering Foundations
Data Structures and Algorithms
System Design
Object-Oriented Programming
Machine Learning
Achievements
Signals of consistency beyond coursework.
Competitive programming, hackathon results, and GitHub recognition all reinforce the same story: steady practice and a bias for improving performance.
Won first place among 150+ participants in Lloyd Institute's 24-hour Code-A-Then challenge.
Solved 480+ LeetCode problems with a sustained focus on advanced data structures and algorithms.
Placed in the top 10% in three Codeforces competitions.
Applied a 200-hour DSA course to achieve a 15% runtime reduction across 40+ LeetCode solutions.
Earned GitHub Pull Shark and Pair Extraordinaire achievements through consistent open source collaboration.
Certifications
Additional programs and simulations.
These complement the portfolio with software engineering exposure across finance, networking, and employability-focused learning.
JP Morgan Software Engineering Job Simulation
Goldman Sachs Software Engineering Virtual Experience
Cisco Networking Essentials
Infosys Foundation Finishing School for Employability Program
Contact
Let's build something thoughtful and fast.
If you're hiring for software engineering, systems, or ML-oriented roles, I'd be happy to connect. The portfolio keeps the resume details visible, but the fastest way to reach me is still email or LinkedIn.