I am a native iOS developer who delivers custom solutions for eCommerce, fitness, wellness, mental health, meditation, and health tech industries. I understand HIPAA compliance and the importance of patient data security. Here's a quick brief about my technical skills: - Swift / Objective-C - Native: iOS/watchOS/watchKit/Fitbit/SiriKit/HealthKit/tvOS, MapKit. - Web Services & API: Parse, AWS, Firebase, Azure, JSON, XML, REST, SOAP APIs. - Social Integration : Facebook, Twitter, LinkedIn, Google Plus - Map & GPS : Google Map, MapBox, OpenStreet, MapKit - Device integration: Bluetooth BLE devices, heart rate monitor, beacons, etc. - Chatting & messaging: XMPP, Jabber, Quickblox, OpenTok Web RTC, Erlang - Version Control & PM: GitHub, Bitbucket, JIRA, Trello. Possess enterprise mobility services for diverse industries: * Consultation (Video/audio based job platforms), video processing, audio processing, image cropping, filters, etc. * Transportation and logistics (Ride Sharing/taxi dispatch/Carpooling) * Workforce/Field service Reporting/ Inspection and Checklist (Oil & well/field/solar/property/yacht) * Fintech Services (Money Remittance/Mirror Trading/Portfolio Management) * On-demand / Service marketplace (Staffing, Errands) * Niche networking (Dating/Business /professional) * Sports and Fitness (Goal tracking/Workouts) * Retail & FMCG (POS/M-commerce) * Food ordering apps Wide range of Mobile Apps developed for different verticals like: * Transportation (booking/Route optimization/Geo-fencing/Google Maps) *Device Integration (Watch, Glucose Reading Device, ECG Device, SOXIA Ring) * Video streaming * Location-based applications * Fitness * Legal * Business Automation * Social, etc. Design UI/UX using tools: * Sketch * Photoshop * Wireframing: Invision, Balsamiq, Marvel, Mockingbot, sigma Development Process: * Scrum Meeting: Daily Scrum meeting to update project progress and assign tasks/priorities * Coding Practices: Follow CMMI level 3 coding practices and development standards, built over Microsoft/Industry best standards * Project Management Tools: Ace-project tool or any other you recommend, for tracking and controlling tasks * Reporting: Daily Progress Report sharing * Version Control Tools: Using Github, Using GitLab or SVN as code versioning tools * Builds: Weekly Builds, hosting build/release every week * Communication: Tools like Skype/Phone/Google Hangout call, etc. will be used per your preference Networking/Cloud: * JSON, REST APIs, XML, Firebase * Social network integration (Facebook, Twitter, etc.) * In-App purchases implementation (Apple Pay, myFatooorh,etc.) * ADS integration (Chartboost, Revmob, Admob, iAd, etc.) * Google Maps, OpenStreetMaps, KML Overlay implementation

🚀 About Me: A Quantitative Finance & Data Science Expert Hello! 👋 I'm an experienced engineer with a degree in Financial Engineering, specializing in Data Science, Machine Learning, and Quantitative Finance. I have a strong track record in financial modeling, risk management, and investment strategy development. 📊 Quantitative Finance & Risk Modeling ✅ Financial Engineering & Structuring – Expertise in developing and validating credit risk models, securitization, and structured finance. ✅ Investment Strategies – Strong background in portfolio optimization, backtesting, and systematic investment strategies. ✅ Securitization & Product Structuring – Experience in building financial models for structured products and asset-backed securities (ABS). ✅ Quantitative Analysis – Proficient in mathematical modeling, risk management, and pricing financial instruments. 🔍 Data Science, AI & Machine Learning for Finance ✅ Python & R – Advanced proficiency in developing AI-driven financial models. ✅ Machine Learning & Deep Learning – Expertise in predictive modeling, recommendation systems, and time-series forecasting. ✅ Reinforcement Learning – Experience in algorithmic trading, portfolio rebalancing, and risk-adjusted investment strategies. ✅ Backtesting & Simulation – Proven ability to evaluate and refine trading & investment strategies with robust backtesting frameworks. 📈 Mathematics, Statistics & Risk Analytics ✅ Statistical Analysis & Econometrics – Expertise in time-series modeling, hypothesis testing, maximum likelihood estimation (MLE), and Bayesian inference for robust financial predictions. ✅ Credit & Financial Risk Modeling – Deep experience in Probability of Default (PD), Loss Given Default (LGD), Expected Loss (EL), stress testing, and survival analysis for credit risk assessment and portfolio risk management. ✅ Factor Models & Asset Pricing – Strong foundation in multi-factor models (Fama-French, APT), principal component analysis (PCA), risk premia estimation, and systematic risk decomposition for asset pricing and portfolio construction. ✅ Monte Carlo Simulations & Stochastic Processes – Proficient in simulating financial scenarios, pricing derivatives, and estimating risk exposure using stochastic calculus and Brownian motion models. ✅ Machine Learning & Statistical Inference – Application of regression models, random forests, XGBoost, and deep learning for financial forecasting, anomaly detection, and predictive modeling. ✅ Bayesian Methods & Uncertainty Quantification – Skilled in Bayesian statistics, Markov Chain Monte Carlo (MCMC), and probabilistic programming for risk estimation and investment decision-making. ✨ Why Work With Me? ✅ Collaborative & Analytical – I thrive on solving complex financial challenges with a data-driven approach. ✅ Results-Oriented – Focused on building robust, scalable financial models that drive actionable insights. ✅ Commitment to Excellence – Passionate about delivering high-quality solutions in investment, risk modeling, and financial structuring. 🚀 Let’s collaborate to enhance your financial models, optimize investments, and drive innovation in quantitative finance!

I am an IT engineer which i specialize on Backend part, Database optimization, Server setup, WEB3, DevOps, custom blockchain development, and API of other Services. Have experience in developing projects from the very start in JavaScript, Golang, Rust, C++, Dart, Erlang, and Solidity. I am highly responsible for my work, punctual, and attentive to little details. I like complex tasks to do and finding nonlinear decisions.

Software Engineering Consultant and Tech Manager with 15 years of experience. Credited as UI Engineer of 3 Battlefield games, two products at Spotify, including the UI ads manager for 300mln MAU. As a manager, worked as Head of Front End Engineering at CloudQuery, Co-founder/CTO at 0+X, CTO at Groupon Russia and Co-founder of gaming startup. Hired more than 30 engineers in different projects during my career Passionate about user experience, collaborating with design teams and conducting user research. Equally compatible with big corporations and small dynamic startups. Main stack: React.js, TypeScript, Next.js, Node.js, CSS. Additional technical experience includes Python, Django, Go, Docker, Terraform, AWS, Objective C, Erlang and ActionScript. * Worked on Battlefield 1, Battlefield V and Battlefield 4 games at DICE/Electronic Arts (React on Frostbite, TypeScript, MobX, etc) * Worked at Spotify with a team of Machine Learning engineers,