Hire the Best Algorithm Developers

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.

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.

I develop professional automated trading systems for MetaTrader 4 and MetaTrader 5 using MQL4 and MQL5. With 20+ years of experience in Forex trading and algorithmic trading development, I help traders, investors, and businesses turn their trading ideas into reliable Expert Advisors, indicators, scripts, dashboards, and complete automation tools. I am Top Rated Plus on Upwork, with 500+ completed projects, 2,100+ working hours, and 100% Job Success. What makes my work different is that I understand both sides of the project: the trading logic and the programming logic. This helps me catch issues that many developers miss, such as broker execution differences, spread problems, stop-level restrictions, risk calculation errors, multi-timeframe logic mistakes, backtest vs live trading differences, and edge cases in order management. Services I offer: • MT4/MT5 Expert Advisors • MQL4/MQL5 indicators and scripts • Forex trading robots and automated strategies • Risk management and money management systems • Lot size, stop loss, take profit, trailing stop, breakeven, and partial close logic • Grid, martingale, scalping, breakout, trend, hedge, and session-based systems • Multi-symbol and multi-timeframe EAs • Alerts, dashboards, panels, and chart tools • Backtesting, optimization, debugging, and strategy improvement • MT4 to MT5 conversion and MT5 to MT4 conversion • Fixing and improving existing EAs and indicators What you can expect: 1. I review your strategy rules carefully. 2. I identify any missing logic, risks, or unclear conditions. 3. I build clean and well-structured code. 4. I test the EA or indicator before delivery. 5. A recorded testing video before delivery, showing all EA/indicator functions step by step 6. Long-term support and improvement when needed. 7. Full source code delivery. 8. Strategy testing, debugging, optimization, and improvement. I prefer clear requirements, honest communication, and practical solutions. If something in your strategy may not work well in real market conditions, I will tell you before we waste time building the wrong thing. If you need a serious MetaTrader developer who understands Forex trading, MQL4/MQL5, and automated trading systems, send me your idea and I will help you turn it into a working solution.

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.

⭐ TOP RATED | 100% Job Success | AI Agents, RAG Chatbots, OCR & Document AI I build production-ready AI systems that pay for themselves: I saved a fintech client €40,000/year by automating their KYC pipeline (99%+ extraction accuracy) and cut clinical documentation time by 60% with an AI medical scribe inside a live EMR platform. If you have messy documents, manual workflows, or an agent/chatbot idea that needs to actually work in production — not just in a demo — I can ship it fast without sacrificing accuracy or scalability. WHAT I BUILD 🔹 AI Agents & Multi-Agent Automation — autonomous, decision-making agents with LangChain, LangGraph and CrewAI that automate real backend processes: document review, support, lead handling, internal ops. 🔹 RAG Chatbots & Knowledge Assistants — retrieval-augmented generation chatbots over your PDFs, docs and databases. Hybrid GraphRAG (Neo4j) + vector search for grounded, accurate answers with strict guardrails against hallucination. 🔹 OCR & Document AI — invoice, ID and form data extraction with PaddleOCR, AWS Textract, YOLO and LayoutLM. 99%+ extraction accuracy on IDs, invoices, tables and unstructured documents. 🔹 Healthcare AI & EMR Automation — HIPAA-compliant medical scribes (Whisper speech-to-text, speaker diarization, auto-generated SOAP notes and ICD-10 codes), wound-analysis computer vision, clinical RAG with PII redaction. 🔹 KYC & Identity Verification — document localization, MRZ parsing, ArcFace biometric matching, liveness detection, real-time transaction risk engines. RESULTS CLIENTS PAID FOR - €40K/year saved — automated fintech KYC pipeline (OCR + face match + verification agents) - 60% less documentation time — AI medical scribe running in a production EMR - 40% accuracy uplift — hybrid GraphRAG retrieval for complex financial queries - 10x faster document processing — logistics and finance workflows - Sub-200ms retrieval latency — FastAPI microservices with Redis caching TECH STACK Python, FastAPI, Docker, AWS, GCP | LangChain, LangGraph, CrewAI, OpenAI, Claude, Hugging Face | Pinecone, FAISS, Weaviate, Neo4j, MongoDB, Redis | OpenCV, YOLO, PaddleOCR, Tesseract, LayoutLM | PyTorch, TensorFlow HOW I WORK Fast execution with production discipline: clear milestones, regular updates, clean documented code, containerized deployment. I use modern AI dev tooling (including Claude Code) to ship in days what normally takes weeks — without cutting corners on architecture. If you want an AI system that works in production, send me an invite or message and let's scope it in a quick call. Keywords: AI Engineer, AI Agent Developer, AI Agents, Multi-Agent Systems, RAG, Retrieval Augmented Generation, Chatbot Development, LLM Integration, GPT-4o, Claude, LangChain, LangGraph, CrewAI, OCR, Document AI, Data Extraction, Computer Vision, Healthcare AI, EMR Automation, KYC Automation, Identity Verification, NLP, Python, FastAPI

I help research teams and technical founders build reliable, testable scientific and quantitative software — from research prototypes and backtesting frameworks to production-grade execution systems, simulation engines, and performance optimization. I also conduct independent technical review of quantitative models, frameworks, and research. If you're dealing with slow code, messy data, a model you can't trust, or a research prototype that needs to become production, I can turn it into a robust, reproducible system. Credibility: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase (derivative pricing, 1M+ LOC C++ library). Max Planck Institute postdoc (general relativistic hydrodynamics simulations on HPC clusters, 1000+ cores). 13 peer-reviewed publications, 1,300+ citations, h-index 12. WHAT I DELIVER ▸ Quant & Options Engineering Backtesting frameworks (event-driven or vectorized), walk-forward, leakage checks Options analytics: Greeks, IV surfaces, Black-Scholes / numerical methods Research → production pipelines (clean architecture, tests, logging, monitoring) Execution integrations (e.g., IBKR) and robust order/risk handling Market data ingestion, cleaning, corporate actions handling, quality control checks ML and statistical models for time-series signals (proper time-series CV, no leakage) ▸ Scientific Computing & Research Tooling Custom software and research tooling for research-driven teams across physics, chemistry, biology, engineering and beyond — where the underlying problem is mathematical or computational. - Custom numerical solvers (finite volume / finite difference, spectral methods, particle methods), with stability and convergence analysis - Optimization engines (Bayesian optimization, gradient-based, evolutionary) for experimental design, formulation, and parameter search - Simulation frameworks for physical, chemical, and biological systems — from prototype to production-grade - Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows - Verification and validation: benchmarks, unit tests, regression tests, convergence studies - Analysis tools, dashboards, and reporting infrastructure for research workflows - Air-gapped and reproducible deployments where IP sensitivity or regulatory context requires it ▸ Quantitative & Mathematical Review (NDA-protected) Independent technical review of quantitative models, frameworks, and research Verification of internal consistency, identifiability, hidden assumptions, and mathematical correctness Assessment of whether the formal structure supports the conclusions drawn from it Review of implementation against specification: numerical stability, edge cases, and code-to-specification fidelity ▸ HPC & Performance Engineering Performance engineering for large-scale scientific and ML workloads Distributed computing (MPI/OpenMP/CUDA), GPU optimization, memory and I/O tuning, parallel architectures, inference and training infrastructure at scale. Profiling, refactors, and speedups for codebases that need to run reliably under production load. WHY CLIENTS WORK WITH ME - Trustworthy engineering: I turn research prototypes into tested, reproducible production code - De-risking: I find failure modes early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability: clean architecture, docs, and handover-ready delivery your team can extend - Communication: clear milestones, concise updates, realistic timelines — no surprises - Math ↔ engineering bridge: strong intuition for both theory and implementation details IDEAL PROJECTS - Quant strategy development, backtesting and research infrastructure - Options analytics and derivatives tooling - Mathematical review of quantitative manuscripts, white papers, or research frameworks - Independent validation of production models or implementations against specification - Market data pipeline and reproducibility upgrades - Performance optimization of slow Python/C++ codebases - Distributed training, GPU optimization, and inference serving for AI/ML workloads - Custom scientific or industrialized simulation or numerical software - Custom internal R&D tools for research labs and technical teams If this sounds like a fit, message me with a detailed brief with your current stack and success criteria — I'll let you know how I can help.