Hire Vetted Data and Analytics Engineers at Upstaff - Page 3

I am a senior software architect and blockchain automation engineer , with over 20 years of professional development experience and 4+ years dedicated to crypto, trading bots, WebSocket systems, and SaaS automation platforms.

My career spans enterprise systems, mobile applications, cloud analytics, authentication infrastructure, and large-scale data platforms — evolving into high-performance blockchain automation and bot engineering across Solana and Ethereum ecosystems.

I specialize in building:

• Real-time token tracking systems
• Telegram trading bots
• Solana Token Bundling, Deployment and tracking platforms,
• Rug detection & dev-sell intelligence
• MongoDB-driven analytics platforms
• Event-driven SaaS backends

All systems are designed for 24/7 uptime, restart persistence, and real trader usage — not prototypes.

Core Expertise

Blockchain & Crypto

• Solana Web3.js
• Ethereum (EVM)
• Pump.fun SDK
• Token metadata indexing
• Market cap & liquidity tracking
• Dev-sell detection
• Rugpull analysis
• ATH / ROI analytics
• Wallet behavior monitoring

Bot & Automation Systems

• Trading bots
• Token sniper trackers
• Telegram bots
• Volume simulation bots
• Alert engines
• Subscription lifecycle managers

Real-time ranking systems

• Over 5 years of experience in full-stack development and technical leadership, specializing in backend API design and financial infrastructure integration.
• Proficient in Python, Flask, SQLAlchemy, JavaScript frameworks (React Native, Vue.js), Kotlin, and multiple SQL databases, with strong expertise in REST & SOAP API development and testing (pytest).
• Led the fastest Mastercard integration in Latin America, architected systems for virtual/physical card issuance, antifraud, referrals, and P2P/external wire transfers.
• Skilled in cloud platforms (AWS, Heroku), server management (nginx, IIS), and version control (Git), with experience building scalable, secure financial and educational web applications.
• Holds a Mechatronics Engineering degree and completed advanced coursework in Data Science and AI, awarded for academic excellence, demonstrating strong analytical and problem-solving capabilities.

• Data Scientist with 4 years of experience delivering AI-driven solutions in dynamic pricing, demand forecasting, and text analysis using Python, SQL, and ML frameworks like PyTorch, TensorFlow, and XGBoost.
• Expertise in NLP, embeddings, and conversational AI, demonstrated by projects involving OpenAI API, LangChain, Dialogflow, and advanced text summarization pipelines.
• Proficient in cloud platforms AWS and GCP, containerization with Docker, and building scalable RESTful APIs for seamless integration.
• Strong background in system analysis with a Master’s degree, applying statistical models (SARIMA, Prophet) and optimization techniques (SLSQP) to real-world business problems.
• Skilled in end-to-end AI system development, including data processing, model research, deployment, and continuous maintenance within agile environments.

• 4 years of experience designing and deploying ML solutions in NLP, computer vision, speech, and signal processing domains using Python, PyTorch, TensorFlow, and HuggingFace.
• Expertise in building scalable ML pipelines, including real-time TTS systems, RAG-based legal assistants, and time series forecasting with XGBoost and Prophet.
• Proficient in data engineering, feature extraction, and hyperparameter tuning with tools like Optuna and MLflow for model lifecycle management.
• Hands-on experience with cloud platforms (AWS, GCP), containerization (Docker), and experiment tracking to ensure reproducible, production-ready deployments.
• Master’s degree in Computer Science from Kyiv School of Economics, with strong foundations in algorithms, data processing (Pandas, PySpark), and software engineering best practices.

• Senior Software Engineer with 8+ years of experience in fintech, e-commerce, SaaS, and healthcare, specializing in scalable backend and frontend solutions using Node.js, Python (Django), React.js, and AI frameworks like LangChain.
• Proven expertise in designing high-performance REST APIs, secure AWS Cognito SSO integrations, and optimizing system efficiency by up to 40% through caching, indexing, and query optimization.
• Strong background in cloud services (AWS Lambda, Cognito), database management (PostgreSQL, MongoDB, Redis), and modern DevOps practices including Azure DevOps and Docker.
• Experienced in AI-driven feature integration, multi-regional third-party service orchestration, and mentoring teams to deliver business-critical systems in agile, distributed environments.
• Holds a B.Sc. in Computer Engineering, with advanced certifications in ReactJS and NodeJS, and fluency in multiple programming paradigms and secure software design principles.

• Senior Data Engineer with 5+ years designing scalable lakehouse architectures and distributed data pipelines using Databricks, Snowflake (Snowpark), PySpark, Kafka, and Airflow across healthcare, life sciences, and finance domains.
• Expertise in building AI/ML-ready feature engineering pipelines, embedding datasets, and integrating ML workflows with MLflow and Databricks Feature Store for clinical risk modeling and forecasting.
• Proficient in cloud platforms AWS, Azure, and GCP, implementing CI/CD, Terraform IaC, and DataOps frameworks ensuring HIPAA-compliant governance and 99.5% SLA data freshness.
• Strong background in performance optimization, including Snowflake query tuning (28% improvement), Spark resource tuning (18% cost reduction), and streaming ingestion reducing latency by 45%.
• Master of Science in Computer Science with hands-on experience in REST API development (FastAPI), containerization (Docker, Kubernetes), and modular data contracts using dbt, enabling robust, scalable data engineering solutions.

• Full Stack Engineer with 6+ years of experience architecting scalable web applications and microservices using Node.js (Express) and Laravel, delivering production-grade solutions for UK startups.
• Expertise in AI-powered automation workflows (n8n, LLM APIs, MCP) and event-driven backends, achieving 50% reduction in document processing time and enhanced cross-team visibility.
• Proficient in Python scripting for automation, and skilled in databases including MySQL, PostgreSQL, MongoDB, and Neo4j, with hands-on AWS and Docker deployment experience.
• Strong advocate of TDD, Clean Architecture, OOP design patterns, and modular monoliths, improving code reliability by 60% and system maintainability.
• Holds a Master’s degree in Software Engineering and fluent in Arabic, French, and English, with proven leadership in remote, distributed agile teams.

• Full-Stack Engineer with 10 years of experience building and scaling web and SaaS products across fintech, edtech, martech, crypto, energy, and AI-driven domains.
• Skilled in JavaScript, TypeScript, and Python, with hands-on experience in frontend development using React, Next.js, and Vue.js, and backend development with Node.js, NestJS, Express, and Python-based frameworks.
• Designed and implemented system architectures for complex platforms, including distributed systems, microservices, real-time applications, and API-driven products with PostgreSQL, MongoDB, Redis, ClickHouse, and Elasticsearch.
• Led full-cycle development of high-load platforms such as crypto trading systems, communication automation tools, educational video platforms, and SaaS products, from requirements and architecture to production launch and scaling.
• Integrated AI and machine learning components into production systems using OpenAI APIs, LangChain, FAISS, PyTorch, and other AI tooling for personalization, automation, and content generation.
• Built and maintained infrastructure using Docker, Kubernetes, Terraform, and CI/CD pipelines, working extensively with AWS and Google Cloud environments.
• Experienced in technical leadership, including frontend architecture ownership, mentoring engineers, hiring, and organizing engineering teams across multiple projects.

Software Engineer with expertise in competitive programming, solving 1000+ problems on LeetCode/Codeforce, and demonstrated experience in architecting full-stack applications. Proficient in backend development with Python and Node.js, also skilled in mobile app development using Flutter. Track record includes developing high-performance RESTful APIs that handle 50K+ daily requests and implementing scalable FastAPI backends. Bachelor of Science in progress with a focus on software architecture, AI/ML systems from Adama Science and Technology University. Achievements include ranking 8th in ETCPC National Finals among 200+ teams and excelling in core programming languages and software development methodologies.

Software engineer with 5 years of experience, excelling in Python/Django backend development and cloud-ready API creation. Proven track record includes architecting a One-Time Setup wizard for Adagrad AI that slashed deployment time by 95%, and designing a SaaS automation platform at Ascent Wellness & Pharma that saved $4,000 monthly and cut manual workflows by 70%. Skilled in advanced databases and cloud operations, with effective system design showcased by the development of a real-time analytics platform that won 3rd place in Maruti Suzuki’s innovation challenge. Holds a Bachelor's degree in Engineering and is proficient in Python, SQL, Django, FastAPI, and a suite of tools and technologies pivotal to modern software development, including Docker, RabbitMQ, and PostgreSQL. Recognized for innovation with awards such as Employee of the Quarter at Adagrad AI.