Hire the Best Algorithm Developers

I am an ACM-ICPC World Finalist and software engineer. I have been developing backend and DevOps solutions using C++, Java, and Python since 2016. I have experience in multiple domains that include fintech, agrotech, health tech, IoT, and Saas. I have been working as a remote developer with globally distributed teams since 2019. I am a quick learner, good with communication, proactive and punctual human being. Nothing excites more me than a challenge that is necessary but difficult to solve. I am also a competitive programmer and expert in data structures and algorithms. I have a decent understanding of UNIX systems especially how different types of data structures are blended to solve complex problems of operating systems. I am a team player and can work as solo as well. I never compromise the quality of my work doesn't matter how the pressure is. And, I believe in requirement analysis as the most crucial part of engagement.

DATA SCIENTIST — everything I build, you can verify the math. I deliver transparent, auditable data models where every number can be checked. Specializing in quantitative research, statistical modeling, Data insights and automation. QUANTITATIVE RESEARCH & PORTFOLIO CONSTRUCTION : I build and backtest equities, with live execution and kill switches on Alpaca where needed. Position sizing, risk allocation, rebalancing logic, all of it grounded in the math, not gut feel. Quick example of how I think: a momentum strategy covering 145 stocks was delivering 41% CAGR. Expanding to 245 stocks dropped it to 36%. Counterintuitive. The root cause: New stocks were selected on hot recent momentum, so by entry their cycle was already done. Built a 5-filter Monte Carlo system, tested 700+ parameter combinations, to identify which satellites are early-cycle vs peaked. Result: 43%+ CAGR with lower drawdown than the 145-only baseline. The problem wasn't the strategy. It was the timing of entry. Another example: I built a live MBS (Mortgage-Backed Securities) forecasting and trading system for a fund client, covering 265+ cohort securities across weekly, monthly, and quarterly return horizons. The interesting part wasn't the ML, it was the feature design. Standard technical indicators on bond prices are noise. What actually drives MBS price movements is duration, convexity, prepayment rates, regime variables like curve steepness, VIX, and Fed MBS holdings. Every feature built from first principles, nothing borrowed from a vendor that can't be verified. This is where I spend most of my time. Systematic backtests, portfolio construction, Monte Carlo optimization. No black boxes, no ML hype every output can be checked in a spreadsheet. Not "add more data." Find the actual structure driving returns, and build features that reflect it. DATA SCIENCE & ANALYTICS I've worked across real estate, e-commerce, and financial analytics, usually called in when a team has data but no clear answer yet. I focus on getting to a decision you can act on, not a 40-slide deck. Results worth mentioning: ML automation cut a client's data processing from 286 days to 1 day, after they'd run the same manual process for two years without realizing it was automatable Ad spend attribution model that improved campaign ROI by 25% WHAT MAKES ME DIFFERENT ▸ I show my work. Every model, every analysis, every number comes with the method behind it, so you're never trusting a black box ▸ I'd rather tell you a strategy doesn't hold up than build you something that looks good and fails in real world. ▸ I scope real problems fast: send me what you're working with and I'll tell you within 24 hours if and how I can help

Hello. I am currently developing new AI and machine learning techniques. I have expertise in many technologies and languages for web, desktop, server, and embedded applications (13 years). Unusual among developers, I have artistic prowess, with experience in UI/UX and 3D animation. Additionally, a breadth of theoretical knowledge in computer science, data science, and other areas of mathematics makes me a perfect choice to solve your more complex problems. I have built the amazing software - batch job scheduler for optimizing resource usage on supercomputers. In my previous company, I achieved these goals. - Designed novel deep learning architectures and high-performance software to forecast the stock market. Made a high-performance C++ data pipeline with a custom-built database. Developed models in Python and Node.js, with TensorFlow for deep learning. - Performed research on intelligent matchmaking in dating apps. New GAN and autoencoder architectures were designed to learn facial preferences in a disentangled space. Used TensorFlow and Python. Developed the front-end in Svelte and vanilla JavaScript. - Developed artificial intelligence for a tennis-playing robot. Researched new computer vision techniques for ball and court localization in a simulated environment. Prototyped novel CV algorithms with a custom-built C++ framework. - Researched the development of AGI, new unsupervised learning theories, and unconditional input data mining. Developed a C++ framework for prototyping new learning techniques. - Architected a highly parallel resource scheduler for supercomputing clusters. I used OpenMP C++ for the back-end, with Node.js bindings to integrate with a web front end. Scripted in C and Node.js to integrate with Unix systems. My Experience. - Snow Simulation This implements a technical paper for material-point-method snow simulation. It is written in C++ and employs OpenGL, Eigen, FreeImage, and Houdini. - Speed Reading Web App The application helps you learn to speed-read books. It darkens the text you should be reading to keep up with your target WPM. - Flowcharts Web App This application is used to create flowcharts for organizing textual information. It integrates with Google Drive and uses IndexedDB for local content. - Racko AI This project is a collection of artificial intelligence for playing the card game Racko. I developed an AI that is competitive with human players—using deep learning and temporal difference learning. I also created a game UI in Java. - Vanilla Dice A 2D physics-based dice rolling simulator for D&D and tabletop games, made in SwiftUI and SpriteKit. I designed and created the app from start to end. It's currently in public beta through Apple's TestFlight. I am very familiar with these technologies. User Interface (UI/UX) - 12 years JavaScript - 11 years Algorithms - 9 years Node.js - 8 years Data Structures - 8 years C/C++ - 7 years MongoDB - 7 years Python - 7 years Machine Learning - 7 years C# - 7 years Agile - 6 years Scrum - 6 years Object-oriented Design (OOD) - 5 years I am passionate about elegant design and efficient development. I deliver pixel-perfect features with precision and care. Looking forward to working with you. Thanks.

A skilled software developer, on various platforms ranging from Windows to Linux to ARM and other embedded devices (AVR, PIC, etc). My preferred programming languages include, but are not limited to: - C/C++ - Java - Python - Rust - C# - Matlab I'm familiar with various open source libraries in different programming languages such as STL, Curl, Json, GTK, Swing, BeautifulSoup, Requests, Selenium, Tkinter, and many more... I've experience in Embedded Software using various microcontrollers (AVR, PIC, STM32, TM4C123, etc...). I've used many peripherals such as (GPIO, Timer, PWM, NVIC, RCC, FPEC, UART, SPI, I2C, CAN, ADC,...), interfaced it with many sensors and actuators. I've built many projects ranging from simple projects (blinking LEDs, motor control, calculator, stop watch, ...) to more advanced projects (Bootloader, Smart Home, Digital Clock, ...). I have a strong background about Algorithms and Data Structures such as: - Dynamic Programming - Backtracking - Graphs - DFS - BFS - MST - Heap - Trie - Balanced BSTs - Segment Trees - Disjoint Set - and many more... I've solved +370 DSA problems on HackerRank platform and got ranked 660 over 23 million developers in solving coding challenges. You can find my profile in the portfolio. My primary focus in writing software is performance, without sacrificing the safety and security of the application. I will do my best to discuss all the relevant details and the scope of the project with the client, so that I can form an idea of the finished product in order to be able to lay a better groundwork design for the project.

Most trading ideas never become systems. Most automation ideas never get built. I close that gap - fast, clean, and production-ready. I'm a Python developer and AI automation engineer at Viprasol Tech, specializing in AI-powered trading systems and intelligent business automation. With 24+ completed projects, a 94% Job Success Score, and Top Rated status on Upwork, I build systems that work in the real world - not just in demos. --- AI AGENTS and INTELLIGENT AUTOMATION --- I build autonomous AI agents and automation pipelines that eliminate manual work and run 24/7: - AI Agents using LangChain, LangGraph, CrewAI, and OpenAI/Claude APIs - RAG pipelines for document Q&A and knowledge bases - LLM integrations - embed GPT-4, Claude, or Gemini into any product or workflow - n8n and Make automation workflows connecting CRMs, APIs, and databases - AI-powered market scanners, data extractors, and research agents --- ALGO TRADING and FINTECH AUTOMATION --- - Pine Script strategies and indicators for TradingView (most delivered in 24 hrs) - MT4/MT5 Expert Advisors (MQL4/MQL5) - custom EAs, backtesting, optimization - Fully automated trading bots: stocks, crypto, forex, options - Broker API integrations: Alpaca, IBKR, Schwab, TastyTrade, Coinbase, Kraken, Tradovate, TradeStation, Tradier - TradingView to broker execution via webhooks - Live dashboards for bot performance (Flask, Plotly Dash, Streamlit on GCP/Heroku) - Copy-trading systems, order routing, risk management automation --- TECH STACK --- AI/LLM: OpenAI API, Claude API, LangChain, LangGraph, CrewAI, RAG, Pinecone, ChromaDB Automation: n8n, Make, Webhooks, REST APIs Trading: Pine Script, MQL4, MQL5, EasyLanguage, Python (pandas, numpy, ccxt) Web: Flask, Plotly Dash, Streamlit, FastAPI, HTML/CSS, Bootstrap Cloud: GCP, Heroku, Docker Data: SQLite, PostgreSQL, Google Sheets, Excel/VBA Alerts: Telegram, Discord, Slack, SMS, Email Top Rated - 94% JSS - 24+ projects - 0 to 4 hr response - CTO of Viprasol Tech Message me - describe your idea and I will tell you exactly how to build it.

🧩 Overview / Description I'm a software engineer with 3 years of professional experience in .NET (C#), Python, and SQL, building scalable and efficient backend solutions. Beyond development, I bring the mindset of a competitive programmer — writing optimized, maintainable, and clean code to solve complex real-world problems. Over the past few years, I’ve contributed to backend systems, fraud detection modules, and web applications across different stacks, combining analytical thinking with practical software design. ⚙️ Technical Expertise Languages: C#, Python, C++, SQL Backend: .NET, ASP.NET Core, REST APIs Frontend: React, JavaScript, HTML, CSS Database: SQL Server, MySQL Tools & Concepts: Git, OOP, Software Architecture, Debugging, UML Other: WPF, Shell scripting 🚀 What I Offer Backend development with clean architecture and maintainable code REST API design and integration Bug fixing, debugging, and performance optimization Algorithmic and logic-driven code implementation Collaboration on real-world web or desktop projects 🧠 Highlights Specialist on Codeforces & active LeetCode problem solver ACPC Finalist and TCPC Silver & Bronze Medalist Former Algorithm & Complexity Instructor at university level Experience mentoring developers to improve code quality and efficiency 💬 Let’s Work Together If you’re looking for a developer who writes code with both structure and insight, and can tackle tough problems with precision, I’d love to collaborate. Let’s turn your ideas into efficient, production-ready software.