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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.

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 𝗯𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗿𝗲𝗮𝗱𝘆 𝗔𝗜 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝘁𝗵𝗮𝘁 𝗽𝗮𝘆 𝗳𝗼𝗿 𝘁𝗵𝗲𝗺𝘀𝗲𝗹𝘃𝗲𝘀: I saved a fintech client €𝟰𝟬,𝟬𝟬𝟬 𝗽𝗲𝗿 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 or 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) plus 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 𝗽𝗲𝗿 𝘆𝗲𝗮𝗿 𝘀𝗮𝘃𝗲𝗱: automated fintech KYC pipeline (OCR plus face match plus 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 and validate reliable, testable scientific and quantitative systems — research prototypes, backtesting frameworks, production execution systems, simulation engines, and performance-critical pipelines. I also conduct independent technical review of quantitative models and research frameworks. Whether you are architecting a new system from the ground up, battling computational bottlenecks, auditing an unpredictable model, or scaling a fragile prototype into production, I can work with you or your team to engineer a robust, high-performance solution. Background: PhD Physics (NYU, 2018). Quantitative Research at JPMorgan Chase — derivatives pricing on a 1M+ LOC C++ library. Max Planck Institute postdoc — general-relativistic hydrodynamics on 1,000+ core HPC clusters. 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 and 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, quality control ML and statistical time-series models with proper cross-validation (no leakage) ▸ Scientific Computing & Research Tooling For physics, chemistry, biology, engineering, and any domain where the core problem is mathematical or computational. Custom numerical solvers (finite volume / finite difference, spectral, particle methods) with stability and convergence analysis Optimization engines (Bayesian, gradient-based, evolutionary) for experimental design, formulation, and parameter search Simulation frameworks from prototype to production grade Scientific data pipelines: ingestion, transformation, quality control, reproducible workflows Verification and validation: benchmarks, unit / 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 Implementation review against specification: numerical stability, edge cases, code-to-spec fidelity ▸ HPC & Performance Engineering Distributed computing (MPI / OpenMP / CUDA), GPU optimization, memory and I/O tuning 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 work — research prototypes turned into tested, reproducible production code; models reviewed against their own claims - De-risking — failure modes surfaced early (leakage, overfitting, edge cases, scaling bottlenecks) - Maintainability — clean architecture, docs, 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 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 against specification - Market data pipelines and reproducibility upgrades - Performance optimization of slow Python / C++ codebases - Distributed training, GPU optimization, and inference serving for ML workloads - Custom scientific or industrial simulation and numerical software - Internal R&D tooling for research labs and technical teams If this sounds like a fit, message me with a brief on your current setup and success criteria — I'll let you know how I can help.

🧩 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.

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.