📩 𝗟𝗲𝘁’𝘀 𝗯𝘂𝗶𝗹𝗱 𝘆𝗼𝘂𝗿 𝗻𝗲𝘅𝘁 𝗔𝗜 𝗯𝗿𝗲𝗮𝗸𝘁𝗵𝗿𝗼𝘂𝗴𝗵 — 𝗺𝗲𝘀𝘀𝗮𝗴𝗲 𝗺𝗲 𝘁𝗼 𝗴𝗲𝘁 𝘀𝘁𝗮𝗿𝘁𝗲𝗱 𝘁𝗼𝗱𝗮𝘆. 🔹 Availability: Full-time (𝟰𝟬–𝟱𝟬 𝗵𝗿𝘀/𝘄𝗲𝗲𝗸) | Open to long-term and enterprise AI projects. 🔹 Trusted AI/ML Engineer with 15+ 𝘆𝗲𝗮𝗿𝘀 of Exp. delivering intelligent solutions for startups, SaaS 🔴 I am in the 𝗧𝗼𝗽 𝟮% overall on StackOverflow. 🔹15+ Years of Experience as a Fullstack AI/ML Developer. 🔹 $9K+ Billing done over upwork. 🔹 169+ Hours on Upwork | 60+ Successful Projects Delivered. 🔹 Worked with Fortune 100 Companies. 🔹 Performance-Driven, Scalable & SEO-Optimized Web Applications. 𝗜’𝗺 Wajid Ali Shah, 𝗮 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗔𝗜/𝗠𝗟 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗿 & 𝗜 𝗵𝗮𝘃𝗲 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱 𝗮𝗻𝗱 𝗕𝗮𝗰𝗸𝗲𝗻𝗱 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁... 🔹 Fine Tuning: Specialized in persona writing, QnA, medical, legal using mistral, llama3 🔹 LLM Synthetic Dataset Generation 🔹 LLM Evaluation Framework 🔹 LLM Deployment: On Cloud platforms like RunAPod, AWS, GCP 🔹 AI Agents / Voice Bots: Proficient with CrewAI/AutoGen, Amazon Polly, Deepgram. 🔹 OS LLM Deployment: On AWS/GCP/RunPod using SkyPilot (vLLM/TGI) 🔹Python (Flask, Fast API, Django, GPT API, Pytest, BeautifulSoup, Selenium) 🔹 Web Scraping, Data Mining, Web Crawling, Data Parsing, Automation, Bots 🔹 Fullstack (JavaScript, MongoDB, Express.js, React, Node.js) 🔹 DevOps - Ansible, Docker, Kubernetes, GitLab CI\CD (AWS/Azure/DO/GCP). 🔹 API integration: Binance API, Telegram API, OpenAI API, BetFair API, OddsJam API, Stripe API. 🔹 API development: RESTful API, Web Services, HTTP Methods, JSON/XML, API Security, OAuth, API Documentation, API Testing, Postman, Swagger, API Gateway, Microservices, Endpoint Design 📌 𝗠𝘆 𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀 𝗶𝗻𝗰𝗹𝘂𝗱𝗲 📌 ⚙️ Web Scraping | Data Mining | Data Extraction ⚙️ Web Automation | Data Cleaning | Data Collection ⚙️ Crypto Trading Automation | Automate Trading Strategy ⚙️ Interactive Brokers Bot | Crypto Trading Bot | Dashboard ⚙️ Data Analysis | Data Visualization | Data Entry ⚙️ Auto Fill Web Forms (Just a click away!) ⚙️ Merge Multiple CSV Files into a Master File ⚙️ Custom Scripting for Your Specific Needs 𝗠𝘆 𝗦𝗸𝗶𝗹𝗹𝘀𝗲𝘁: ⤵️ AI Agents, Voice Agents, CrewAI, AutoGen, Hugging Face, LLaMA 3, Mistral 7B, PEFT, LoRA, QLoRA, Prompt Engineering, RAG Pipelines, LangChain, Vector Databases, FastAPI, Flask, Django, Streamlit, Azure OpenAI, OpenAI API, vLLM, GPTQ, Trading Bots, Binance API, Telegram Bot API, Python, Selenium, Scrapy, Playwright, BeautifulSoup, Regex, REST APIs, Pandas, NumPy, Scikit-learn, PostgreSQL, Firebase, MongoDB, Data Analysis, Data Engineering 📌 𝗔𝗜 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 & 𝗦𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻𝘀:📌 🔹𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 / 𝗩𝗼𝗶𝗰𝗲 𝗔𝗴𝗲𝗻𝘁𝘀: CrewAI, AutoGen, Amazon Polly, Deepgram. 🔹L𝗟𝗠 𝗙𝗶𝗻𝗲𝘁𝘂𝗻𝗶𝗻𝗴 & 𝗧𝗿𝗮𝗶𝗻𝗶𝗻𝗴: PEFT, LoRA, QLoRA, RLHF, DPO with Unsloth, Axolotl, Hugging Face. 🔹𝗢𝗽𝗲𝗻-𝗦𝗼𝘂𝗿𝗰𝗲 𝗟𝗟𝗠𝘀: LLaMA 3, Mistral 7B, Mixtral 8x7B. 🔹𝗙𝗮𝘀𝘁 𝗜𝗻𝗳𝗲𝗿𝗲𝗻𝗰𝗲 & 𝗦𝗲𝗿𝘃𝗶𝗻𝗴: vLLM, TGI, DeepSpeed. 🔹𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 & 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻: API-first architecture, Streamlit, Gradio, LangChain, CrewAI. 🔹𝗣𝗿𝗼𝗺𝗽𝘁 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 & 𝗥𝗔𝗚 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀: Custom GPT-4 workflows, Multi-agent orchestration, vector search integration. Quantization & Optimization: AWQ, GPTQ, GGUF, GGML. I believe in creating lasting partnerships with my clients by delivering projects on time and exceeding expectations. I look forward to bringing my technical expertise and passion for software development to your project and making a meaningful impact. Thanks Wajid Ali Shah

With 25+ years building mission-critical trading systems for investment banks, hedge funds, and professional traders, I bring genuine front-office experience to every project - not just technical skills, but a deep understanding of what traders actually need and the low margin for error that comes with it. My background includes roles on the trading floors of ING Barings and UBS Securities, where I developed equity solutions in high-pressure, time-critical environments. Since then I've worked extensively with hedge funds and private investors, most recently in an ongoing relationship with a New York hedge fund spanning 5+ years, building strategy screeners, broker connectivity via Interactive Brokers/QuickFIX, and risk management reporting across Excel, Python, and Azure SQL Database. One of my core specialties is the intersection of Excel and C# - building sophisticated, real-time trading tools using Excel DNA, multithreaded C# DLLs, and custom broker APIs that go well beyond what standard VBA can deliver. I'm equally comfortable at the quant/data layer (Python, Plotly Dash, Bloomberg, Eikon) and the execution layer (QuickFIX, FIX Protocol, broker APIs). I have a particular talent for untangling complex, hard-to-reproduce bugs in live trading environments - the kind of problems that require both deep technical knowledge and genuine market understanding to diagnose. I'm looking for long-term client relationships with serious projects. If you're building something sophisticated in the trading/fintech space, let's talk.

I help hedge funds, proprietary trading desks, and advanced fintech teams design and build institutional-grade trading and research systems. My focus is not on toy backtests, but on execution-ready, decision-aware infrastructure that operates under real market conditions. I am a senior quantitative developer, algorithmic researcher, and strategy engineer with experience spanning high-frequency trading, systematic alpha research, execution systems, and institutional investment workflows. My work covers the full lifecycle of trading and investment systems, from market microstructure and low-latency execution, to top-down research frameworks that connect macro regimes, sector dynamics, security selection, and portfolio construction. Beyond implementation, I specialize in formalizing how investment teams think. I translate discretionary research and intuition into structured, explainable, and reproducible decision systems suitable for portfolio managers, investment committees, and client reporting. What I Do in Practice ✔️ Design and build execution-ready trading systems including HFT, statistical arbitrage, and market making ✔️ Architect institutional research frameworks linking macro, sector, security, and portfolio layers ✔️ Build strategy-aware infrastructure that enforces risk, explainability, and confidence calibration ✔️ Integrate machine learning and language models as decision support, not black-box signal generators ✔️ Deliver systems intended for live trading, capital deployment, and institutional scrutiny 💡 Core Expertise A. Trading and Execution Systems ✔️ High-Frequency Trading: microstructure modeling, latency optimization, execution efficiency ✔️ Statistical Arbitrage and Market Making: spread modeling, liquidity provisioning ✔️ Smart Order Routing and Trading Aggregators: multi-venue execution, real-time risk and connectivity B. Institutional Research and Decision Architecture ✔️ Top-down investment framework design across macro, sector, security, and portfolio layers ✔️ Research orchestration, dependency tracking, and explainable decision workflows ✔️ Converting discretionary research into auditable, reusable systems used by portfolio managers C. Quantitative Methods and AI ✔️ AI-augmented research systems using language models for structuring, synthesis, and scenario analysis ✔️ Machine learning for predictive modeling, anomaly detection, and regime analysis ✔️ Robust validation including walk-forward testing, stress testing, and stability analysis D. Crypto and Digital Asset Trading ✔️ CEX and DEX arbitrage, perpetuals, options, and AMMs ✔️ DeFi integrations and smart-contract-aware strategies 💻 Platforms & Infrastructure : Traditional Trading: MetaTrader 4/5 (MQL4/MQL5), NinjaTrader, Sierra Chart, TradingView (Pine Script), QuantConnect, Interactive Brokers, ThinkOrSwim Crypto Trading: Binance, Bybit, BitMEX, OKX, Deribit, dYdX, Uniswap, Sushiswap, GMX Low-Latency & HFT Development: C++, C#, Rust, Python, FPGA-based strategies Infrastructure & Pipelines: Kafka, Redis, TimescaleDB, PostgreSQL, Liquibase, Docker, Kubernetes AI & ML Toolkits: TensorFlow, PyTorch, Scikit-learn, OpenAI API, Pandas 💡 My Approach to Machine Learning and AI in Trading Financial markets are non-stationary, adversarial, and regime-driven. Machine learning and AI can add value, but only when applied with discipline and market awareness. I emphasize: - Alpha and economic logic first, machine learning second - Robust validation through walk-forward analysis and stress testing - Execution-aware design rather than theoretical backtests - AI as a tool for structuring reasoning and research, not for mining noise The same discipline applies to research systems. Strong investment outcomes come from clear assumptions, controlled uncertainty, and explainable logic rather than opaque models. 💬 My Philosophy on Pricing & Partnerships Exceptional value lies not just in technical ability, but in deep market understanding and execution precision. I focus on delivering results-driven systems, not just theoretical models. I welcome long-term collaborations with hedge funds, prop desks, and fintech startups who value strategic edge, not just code.

I am a Quant Developer with 10+ years of experience in building high-performance trading systems, financial applications, and scalable web platforms. My expertise spans across algorithmic trading, FIX API integration, and full-stack web development, enabling me to deliver end-to-end solutions for automated trading, risk management, and market data processing. Core Specializations: ✔ Trading Application Development: Algo trading bots, execution strategies, FIX API integration, and broker connectivity (MT4, MT5, Python, AFL, Pine Script). ✔ FIX API Expert: Custom order execution systems, real-time market data handling, and FIX protocol implementations. ✔ Quantitative Development: Strategy backtesting, statistical modeling, and market data analysis using Python, Pandas, and NumPy. ✔ Web Application Development: Scalable community and administrative portals, server-side development, and custom API solutions. ✔ End-to-End Development: From planning and architecture to deployment and optimization of web and trading applications. Tech Stack & Expertise: 🔹 Backend & Trading: Python (Django, Flask), Node.js, FIX API, AFL, Pine Script 🔹 Frontend: HTML, Tailwind CSS, JavaScript 🔹 Databases: MySQL, MongoDB, Apache Cassandra 🔹 Data Science & Analytics: Pandas, NumPy, Machine Learning for Finance 🔹 CMS & Web Platforms: WordPress, Custom Website Routing I am available for both short-term and long-term contracts and always open to discussing new projects that leverage my expertise in quantitative finance and algorithmic trading. 💬 Let’s connect and build something impactful!

I build trading bots, custom indicators, and automated strategies that work exactly the way you want them to. What I Do: I turn your trading rules into fully working algorithms. You tell me your strategy — I code it, backtest it, optimize it, and deliver it ready to run live. Platforms I Work With: MetaTrader 4/5 (MQL4/MQL5), NinjaTrader 7/8 (C#), cTrader/cAlgo (C#), QuantConnect (Python/C#), TradingView (Pine Script) What I Build: → Trading bots & Expert Advisors → Custom indicators (multi-timeframe, multi-symbol, alerts) → Scalping, grid, breakout, hedging, mean reversion strategies → Backtesting & walk-forward optimization → Risk management systems (SL/TP, trailing stops, breakeven, pyramiding) → Broker & exchange API integration (Binance, Bybit, Oanda, Interactive Brokers) → Prop firm challenge bots (FTMO, MyFundedFX, etc.) Why Clients Choose Me: → Top Rated on Upwork — 32 jobs done, 1,370+ hours, $40K+ earned → I follow your rules exactly — no guessing, no shortcuts → Clean, well-documented code with source files included → Fast replies and on-time delivery I work with forex traders, crypto traders, futures traders, prop firms, and hedge funds. Send me your trading idea or strategy rules — I'll tell you exactly how I can automate it.

Machine Learning Engineer specializing in quantitative finance with proven track record in algorithmic trading systems and financial forecasting. Ranked #1 out of 18,166 professional data scientists in a time series forecasting Kaggle competition. Former VP at Citi Bank with 7+ years building production ML systems. Most of all, I adore logical problem solving! I'm also a former competitive chess player (rated 2073 ECF) . Available for: ML model deployment, data pipeline architecture, Strategy development, backtesting systems, quantitative research, financial dashboards, data analytics. Core Expertise 📊 Quantitative Finance & Trading End-to-end algo trading pipelines: Strategy development → Backtesting → Live deployment Trading platforms: Interactive Brokers API, TradingView, QuantConnect, MetaTrader (MQL4/5), cTrader Risk modeling: Options pricing (Black-Scholes, Monte Carlo), volatility modeling (GVAR, GARCH) Market data engineering: Massive (Polygon) AWS S3, real-time feeds, historical data pipelines 🤖 Machine Learning & AI Time series forecasting: ARIMA, LSTM, GRU for financial markets ML algorithms: XGBoost, LightGBM, Random Forests, Neural Networks Deep learning: CNNs for pattern recognition, RNNs for sequence prediction Natural Language Processing: Sequence-to-Sequence Encoder-Decoder Transformer Models with Attention Feature engineering: Target encodings, geospatial analysis, text vectorization 💻 Technical Implementation Languages: Python, Scala, SQL, R, C++, Java, Spark ML/DL frameworks: PyTorch, TensorFlow, scikit-learn, JAX Data engineering: PostgreSQL, AWS S3, REST APIs, real-time streaming Deployment: FastAPI, Flask, Streamlit dashboards, Docker Notable Achievements Kaggle Competition Winner: 1st place (out of 18,166) in 1C Future Sales Prediction Live Trading Success: Deployed strategy which achieved 25% CAGR at a prop trading firm for 3 years Enterprise Scale: Built forecasting models for 60+ countries at Citi Bank Academic Excellence: MS Computer Science (ML) Georgia Tech (GPA 3.9), MS Quantitative Finance (GPA 3.7) Certifications: CFA Level 2, FRM Level 1 Recent Projects 1. Building Custome Backtesting Engine in Python, Strategies & Indicators in MT5, MQL, NT8 2. Volatility clustering using Dynamic Time Warping for casino game crash prediction 3. Options chain visualization & credit spread calculator with Polygon data feeds 4. Yield curve forecasting model (PCA-based) outperforming legacy systems 5. Neural machine translation using Transformers with attention mechanisms How I Work I focus on delivering robust, scalable solutions that solve real business problems. Whether you need a complete trading system, risk model optimization, or ML-powered financial analysis, I bring both academic rigor and practical experience to ensure successful outcomes. I am especially passionate about data engineering - building robust, scalable and efficient data architectures.

I am a Trading Software and Financial Systems Architect with 5+ years of experience delivering scalable, production-grade trading platforms for both corporate and retail clients. I have successfully delivered 20+ financial systems and worked with top-tier investment banks, bringing deep domain knowledge across Forex, Equities, Futures, Options, stocks and Crypto markets. In addition to my trading domain expertise, I have 3+ years of hands-on experience in web and mobile application development, specializing in financial, trading, and investment platforms. I design and build secure, high-performance trading software, from backend architecture to user-facing web and mobile applications. My work focuses on creating robust trading infrastructure and financial applications, enabling brokers, prop firms, and retail platforms to offer reliable, automated, and data-driven trading solutions. Core Expertise: Trading Software Development (Web & Mobile) Financial System Architecture Backend & API Development for Trading Platforms Broker & Exchange API Integrations Real-Time Market Data Processing Algorithmic & Automated Trading Systems Backtesting & Strategy Optimization Engines Risk Management & Order Management Systems (OMS) Portfolio & Copy Trading Platforms Market Making & Arbitrage Systems TradingView Webhooks & Alert-Based Automation MetaTrader 5 – Python Integration Interactive Brokers & Multi-Broker Connectivity Telegram Bots & Reporting Dashboards Technologies and Tools: Python (core backend, automation, analytics) Web & Mobile App Development Cloud-Based Trading Infrastructure Databases & Low-Latency System Design Secure Financial APIs & Integrations I help clients build complete trading products, not just strategies, covering software design, development, automation, deployment, and scaling. Whether you’re launching a trading platform, brokerage tool, investment app, or institutional-grade trading system, I deliver reliable, production-ready financial software built for modern markets.

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.

I’m a Python/Django developer and algorithmic trading specialist who helps individuals and businesses design, build, and scale automated trading systems and market-driven applications. Unlike developers who only write code, I actively work with trading systems and real-world market data. That means I understand execution timing, edge cases, API limitations, risk management, and reliability - the things that actually make or break automated trading software. Whether you’re building a bot from scratch, improving an existing strategy, or connecting complex APIs into a reliable system, I focus on clean architecture, maintainability, and production-ready results. ✅ What I Help Clients Build - Custom algorithmic trading bots (stocks, options, crypto) - Backtesting and strategy validation frameworks - Broker and exchange API integrations - Trade execution, position management, and safety checks - Monitoring dashboards and admin panels (Django-based) - Data ingestion, automation, and analytics pipelines I’m comfortable working on greenfield projects or stepping into existing codebases to stabilize, refactor, and improve performance. 🔌 Platforms & Integrations Experience - Tradier - Interactive Brokers - TradeStation - E*TRADE - Binance - CryptoHopper - 3Commas If your platform has an API, I can work with it - or help you design a clean abstraction layer so you’re not locked into one provider. 🧩 Tech Stack Backend: Python, Django, FastAPI Frontend: React, HTMX, JavaScript, HTML, CSS Data & Automation: Pandas, NumPy, REST APIs Databases: PostgreSQL, MySQL Infrastructure: Azure, AWS, Docker 🔹 How I Work - Clear communication and realistic timelines - Production-first mindset (not throwaway scripts) - Secure handling of credentials and API keys - Documentation so you’re not dependent on me forever If you’re looking for a developer who understands both software engineering and trading mechanics, send me a message. I’m happy to review your idea, strategy, or existing system and suggest the best path forward.

Enterprise product Developer, 8+ Years of Experience, Full-Time Freelancing,100% Job success rate. I am a Tech Leader with over 8 years of experience in building custom products across diverse industries. As a former CTO, I’ve led numerous successful project developments and created highly scalable solutions.With a 5-star rating on Upwork and a 100% job success rate, I’m committed to delivering results that exceed expectations and understanding how solutions impact your business. I believe in continuous learning and collaboration 🔍 My Expertise: • Backend Development: I excel in creating seamless solutions, whether event-driven, monolithic, or microservices-based. From designing architecture to writing efficient Python code, I deliver end-to-end backend solutions that are secure, optimized, and reliable. • API Development & Integration: Expert in developing and integrating RESTful and GraphQL APIs, with deep knowledge in JWT tokens, API authentication, rate limiting, and DDoS protection. I specialize in creating secure, optimized, and highly scalable API engines, including those handling PII data. • Cloud Solutions: Deep expertise in AWS services like EC2, S3, Lambda, and DynamoDB, Amplify, Aurora, AWS Elastic Search,SQS, Step Functions, Batch,AWS Cognito architecting optimized cloud environments tailored to your needs • Automation & Scripting: Automating complex workflows with Python and custom scripts, enhancing productivity and operational efficiency. • Database Management: Proficient in PostgreSQL, MongoDB, MySQL, and DynamoDB, ensuring reliable and scalable data solutions. 🔧 My Unique Process: My approach to project delivery sets me apart. I start by asking the right questions to ensure we’re aligned on goals and outcomes: 1. WHAT? – I dive deep into understanding what exactly needs to be developed, which helps me define a comprehensive Statement of Work (SOW). 2. WHY? – I focus on understanding why you need this solution, uncovering the core problems and requirements, which informs the design of scalable, secure, and optimized Low-Level and High-Level Designs (LLD & HLD). 3. HOW? – If you have existing solutions, I'll collaborate with you to assess them and determine the best path forward. 4. Planning – I create a detailed plan to execute the project efficiently. 5. Development – I follow the Software Development Life Cycle (SDLC) process to deliver a robust and scalable solution. 🌍 Global Collaboration: I thrive in diverse, multicultural teams and have a proven track record of working effectively across different time zones, ensuring smooth communication and project delivery. 💬 Let's Innovate Together: If you're looking for a tech leader who can drive your project to success with innovation, reliability, and a keen eye for detail, I'd love to connect. Let’s collaborate to turn your vision into reality.