Apr 2025 – Present · 1 yr 1 mo · Dubai, United Arab Emirates · On-site

• Botmer International exists because founders kept getting burned.
• By agencies that overpromised and underdelivered.
• By freelancers who went dark after the second payment.
• By "senior developers" who couldn't survive a real codebase review.
• I built Botmer to be the engineering partner I wish every founder had access to when I was building my first company.
• What we do:
• We embed vetted, AI-native senior engineers directly inside your product — operating like a founding team, not a vendor. We own execution, architecture decisions, and delivery. We don't disappear when it gets hard.
• What that's produced:
• → 200+ products built across 14 countries
• → $390M+ in combined client valuations
• → Clients include BrewDog founder James Watt's Social Tip, Venu ($12M Series A), Portl (~$25M valuation), and 195+ more
• → Average engagement length: 14+ months
• If you're a founder who needs engineers who ship not engineers who invoice:
• 📅 https://calendly.com/botmer-info/discovery-call

Jan 2023 – Dec 2023 · 11 mos · San Francisco Bay Area · On-site

• As an Education Mentor at DeepLearning.AI, I supported global learners in mastering applied machine learning, deep learning, and AI system design.
• I reviewed projects, guided students through neural network implementation, model optimization, and deployment workflows, and helped them understand real-world engineering tradeoffs.
• My focus was simplifying complex concepts, ensuring technical accuracy, and enabling students to build production-oriented AI systems with confidence.

Jun 2022 – Apr 2024 · 1 yr 10 mos · London Area, United Kingdom · Hybrid

Apr 2021 – Feb 2022 · 10 mos · United States · Remote

Mar 2021 – Mar 2025 · 4 yrs

• As CTO of SOC Solutions, I led the end-to-end technical direction of a full-stack engineering company specializing in AI, Web3, blockchain, and high-availability cloud applications. My role combined deep hands-on engineering with scaling technical teams, defining architectural standards, and delivering production-grade systems across multiple industries.
• Core Responsibilities & Technical Leadership
• Designed and supervised distributed architectures, high-performance back ends, event-driven systems, and microservice deployments on AWS, GCP, and DigitalOcean.
• Architected multiple Web3 and blockchain solutions, including smart contracts, decentralized identity flows, asset tokenization systems, and NFT infrastructure using Solidity, Hardhat, and EVM-compatible protocols.
• Established engineering processes, CI/CD pipelines, code review systems, observability stacks, and delivery methodologies that scaled across 30+ engineers.
• Worked directly with startup founders and enterprise teams to convert ambiguous product ideas into production-ready technical designs, capability roadmaps, and execution plans.
• Key Technical Achievements
• Led development of 40+ products across fintech, supply chain, AI SaaS, logistics, marketplaces, and consumer apps.
• Delivered multiple AI-driven platforms involving vector search, model fine-tuning, generative AI, conversational agents, and predictive analytics.
• Engineered blockchain systems supporting secure transactions, on-chain business logic, and verifiable data flows with an emphasis on scalability and auditability.
• Built and managed a high-performing cross-functional engineering team across backend, frontend, mobile, QA, and AI disciplines.
• Engineering Philosophy
• I brought a systems-first mindset to SOC: simplicity, reliability, maintainability, strong documentation, rigorous decision-making, and architectures that scale without complexity inflation.

Feb 2021 – Dec 2022 · 1 yr 10 mos · United States · Remote

• As a Senior AI Consultant (Grade 4), I led the design, development, and deployment of advanced AI solutions across enterprise clients in financial services, telecom, healthcare, and large-scale public-sector systems. My work focused on building production-ready machine learning pipelines, deploying scalable models, and advising executive teams on AI strategy, architecture, and implementation feasibility.
• Core Responsibilities
• Designed end-to-end ML and deep learning pipelines, from data processing to model deployment in cloud and hybrid environments.
• Built NLP systems, RAG workflows, classification models, forecasting engines, and automation layers for high-volume enterprise operations.
• Advised engineering and product teams on AI architecture, model governance, data readiness, MLOps, and long-term scalability.
• Led technical discovery sessions with clients to translate ambiguous business requirements into clear AI-driven solutions and execution plans.
• Developed reusable internal frameworks for accelerating AI prototyping and deployment across multiple client accounts.
• Key Achievements
• Successfully delivered AI components for large digital transformation programs, enabling measurable improvements in automation, accuracy, and operational efficiency.
• Implemented production-grade ML models with strong monitoring, drift detection, and iterative retraining strategies.
• Collaborated with cross-functional teams to integrate AI into enterprise systems involving microservices, event-driven workflows, and cloud-native infrastructure.
• Helped clients reduce manual workloads, optimize decision-making, and adopt AI responsibly at scale.
• Focus Areas
• Applied Machine Learning
• Natural Language Processing
• Deep Learning Architectures
• MLOps, CI/CD for ML, Model Observability
• Cloud AI (AWS, Azure) and enterprise integrations
• AI roadmap creation for digital transformation initiatives

Aug 2020 – Feb 2021 · 6 mos

• At 10Pearls, I worked as a Software Engineer specializing in AI, data engineering, and large-scale data processing systems. My role focused on building intelligent applications, developing machine learning components, and designing data pipelines that supported analytics and automation across enterprise products.
• Key Responsibilities
• Developed ML models for classification, prediction, and NLP use cases, ensuring high accuracy and efficient inference performance.
• Built and maintained ETL/ELT pipelines, data preprocessing workflows, and scalable data ingestion systems for high-volume datasets.
• Collaborated with cross-functional teams to integrate AI modules into production applications, ensuring robust APIs, clean model interfaces, and seamless deployment.
• Implemented data validation, feature engineering strategies, and optimization techniques to support reliable model training and experimentation.
• Contributed to architectural discussions for AI and big-data services, focusing on scalability, maintainability, and cloud deployment best practices.

Mar 2020 – Nov 2020 · 8 mos · Karāchi, Sindh, Pakistan

• As a Python Programming Instructor, I taught foundational and applied Python to aspiring developers and data science beginners, focusing on practical skills, clean coding habits, and problem-solving techniques used in real-world engineering.
• Key Responsibilities
• Delivered hands-on instruction in Python fundamentals, data structures, OOP, file handling, modules, and best practices for writing clean, maintainable code.
• Introduced students to data analysis workflows using NumPy, Pandas, Matplotlib, and basic scripting for automation.
• Designed coding exercises, mini-projects, quizzes, and assignments to reinforce learning and build practical confidence.
• Guided students through debugging, algorithmic thinking, and approaching problems methodically using Pythonic patterns.
• Mentored several learners transitioning into programming roles or preparing for data science tracks.
• Focus Areas
• Python Fundamentals · Data Structures · OOP · Scripting · Data Analysis Basics · Coding Best Practices

Jan 2020 – Jun 2020 · 5 mos

Jun 2019 – Jan 2020 · 7 mos · Karachi, Pakistan

Apr 2018 – Aug 2020 · 2 yrs 4 mos · Karachi, Pakistan

Apr 2018 – Jan 2020 · 1 yr 9 mos