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Senior data engineer specializing in financial data infrastructure, large-scale pipeline architecture, and cloud data systems on AWS/GCP/Snowflake. I build and fix data pipelines that handle real stakes — regulatory reporting, trading infrastructure, high-volume financial data — and I have a track record of measurable improvements: full data loads from 3 weeks to 6 hours, ingest times from 45 minutes to 3, query runtimes improved 500%. Recent work: 🏦 Lead data engineer at MSRB (US federal regulator, $4T municipal bond market): 30 ETL pipelines supporting $9B+ in daily trades, pricing data availability increased 800% across 2.7M securities 📦 Data infrastructure at Trafigura: serverless pipelines processing ~500GB of multi-domain financial, industrial, and geopolitical data 📑 Greenfield SEC filing pipeline: 20 years of filings across 4,000+ companies, structured for LLM querying ⚙️ DataPraxis: container-based ingestion platform (GCE/Docker/Kubernetes) reducing ingest time from 45 minutes to 3 🌍 Catalist: Productionizing machine learning models at 1,000,000x scale and implemented Cloudera colocation -> BigQuery transtion MS Applied Mathematics & Statistics, Johns Hopkins University.
Senior Data Scientist with expertise in machine learning, natural language processing, information retrieval, and data engineering. Extensive experience in developing advanced algorithms and solutions across various industries. And, years of tutoring experience!
I started out as a Structural Engineer, graduating from UNIBEN, finishing among the top 5 in my class, before taking a path that led me deep into the world of AI/ML Engineering. That transition wasn't linear, it was built on exposure, experimentation, failure, and a lot of learning along the way. Through it all, one thing has never changed: I'm most alive when I'm at the intersection of technology and real world problems. Growing it, evolving it, building it, scaling it. That obsession has shown up in the work, from building the first-ever AI-powered RFP at TalkDEI, to finishing in the top 5 globally at Hamoye, to consistently scoring 98/100 on technical assessments. I've also had the privilege of mentoring and teaching over 5,000 individuals across various skillsets.
Embark on a transformative coding journey with me, a visionary computer science expert and a passionate mentor, bringing over two decades of rich expertise in the dynamic realms of programming, data science, and software architecture. My technical skills span across a broad spectrum, including mastery in programming languages like Python, Java, C++, C, and Scala, along with a profound understanding of algorithms, data structures, and the complex art of software design. My research interests include big data analysis, semi-stream join algorithms, and real-time data warehousing. As a mentor, I've illuminated the path for students globally, from prestigious universities in the USA, Australia, Canada, and the UK, in a vast array of subjects from Big Data Analytics to Cyber Security, and advanced programming languages. Currently, I am a lecturer of Computer Science at a Higher Education Institute. My academic prowess is underscored by a **PhD** in Computer Science, with my doctoral thesis titled: "Integrated Real-Time Distributed Stream-Disk Processing Architecture for Unstructured Big Data". Join me on codementor, where together, we'll navigate the intricacies of technology, unleashing the potential to innovate, solve real-world problems, and excel in your programming career.
Expert in Gen AI, LLM, Chatbots, Java, Go, Android, OS, Shell scripting, AWS, Spring Boot, JavaScript, TypeScript, NodeJS. I have worked with Java, built microservices using spring boot. I have experience in building services using NodeJs, typescript. I have developed chatbots using **LLM and retrieval augmented generations.** I am also a mentor, I like the process of mentoring, as both mentor and mentee learn in the process, through mentoring, I accelerate my learning because there is always something that you learn or re-learn during mentoring.
I am a quantitatively oriented analytics professional with 10+ years of experience in data analytics, statistical programming, and machine learning. I specialize in statistical analysis, predictive modeling, data mining, and AI-driven insights using Python and R, with experience working on large structured and unstructured datasets. My work spans multiple domains including Finance, Healthcare, Education, Sports, and Human Resources, where I help organizations convert complex data into actionable insights and decision support systems. I also have experience with Big Data ecosystems and Hadoop. Academically, I hold a Master’s in Economics, a Postgraduate Diploma in Applied Statistics, and a Bachelor’s degree from Indian Institute of Technology. My approach combines strong statistical foundations, curiosity-driven exploration, and impactful data visualization to uncover hidden patterns in data.
Hi! I love Java, Python, Javascript, distributed systems, large scale systems, machine learning, natural language processing and image processing. My work has been featured on the AWS blog (https://tinyurl.com/chaosrunner), The Guardian (https://tinyurl.com/topvocab) , Billboard.com (https://tinyurl.com/topprofane) and other print/digital publications. I also own Amazon's chaos testing framework called AWSSSMChaosRunner (https://github.com/amzn/awsssmchaosrunner). I am a Senior Engineer at Amazon's Prime Video and have worked on scaling backend systems to millions of transactions-per-second, utilising various cloud technologies and primarily working with Java, Kotlin and Javascript. This involves image/audio/text processing systems, creating & managing databases/APIs for mobile/web applications and everything in between. I have 15yrs+ experience with backend engineering, cloud tech, nlp, signal processing and image processing. I can help you with any of these topics. I also love hackdays and have attended 20 hackdays in Europe in the last couple of years and collaborated with beginners/experienced developers on different kinds of projects. Thanks for reading and hope to talk to you soon!
**I’m an IT professional with 8 years of experience, currently specializing in AI, Machine Learning, and Python development.** My teaching philosophy is simple: understand where my students are starting from, then create a personalized roadmap to get them to their goal—whether it’s mastering Python basics or building real-world AI solutions. I started teaching informally to friends at a young age, and over the years, it became a passion. Today, alongside my role as an ML engineer, I have mentored over 100 professionals and students in Python, Data Science, and Machine Learning, including 4+ years as a part-time mentor for Great Learning. In my industry work, I’ve built and deployed solutions across Generative AI, Retrieval-Augmented Generation (RAG), computer vision, automation, and large-scale data engineering. My technical expertise spans Python, Unix Shell scripting, SQL, NoSQL, CI/CD pipelines, and frameworks like FastAPI and Flask. I’ve also developed hybrid automation solutions that integrate Python with Bash scripting for ETL, data migration, monitoring, and analytics. **What you can expect from me as a mentor:** * Clear, structured lessons—customized to your pace and background * Real-world coding practices from enterprise-grade projects * In-depth AI/ML concepts explained from scratch * Doubt-clearing sessions before every new topic * Practical examples connecting theory to implementation If you’re looking to build strong Python foundations, dive into AI/ML, or solve real-world automation problems, I’d love to guide you every step of the way.
I have experience in research, data science, and machine learning. I have worked on projects related to deep learning, renewable energy, and dynamic discount algorithms. My education includes a PhD in Mathematical Modelling and a MicroMasters in Statistics and Data Science.
I am an AI engineer with over 5 years of experience in Deep Learning, NLP, and Computer Vision. At Parspec, a Silicon Valley–headquartered construction tech startup, I built and led the AI team, developing advanced models and end-to-end pipelines that achieved high accuracy while optimizing costs. As an independent consultant, I successfully delivered 30+ deep learning and computer vision projects with a 100% job success rate. With a strong foundation from Stanford (M.S. Electrical Engineering), I bring technical expertise, leadership experience, and a commitment to building impactful AI solutions.
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