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Seasoned Web Developer and Blockchain enthusiast with a proven track record in the IT and services industry. Expertise in Research, PHP, HTML, JavaScript, and Blockchain development, including Smart Contracts. Skilled in automation, application testing, and cybersecurity analysis for web and mobile apps.
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'm a Senior Software Engineer and Solutions Architect with 11+ years of experience using technologies such as Java, Python, and JavaScript. I led the delivery of a retail banking engagement platform for a tier-1 bank, which drove 90% transaction growth and supported 10M+ daily transactions. I've also crafted solutions for industries such as fintech, payments, and capital markets. I continually expand my skill set to deliver reliable, high-performance systems at scale.
Application Developer in a wide variety of business applications. Particularly interested in server side technologies. Experienced in Java J2EE web application development including Content Management System (Alfresco), Portal Applications (Liferay and SharePoint). Experience in interfacing different business application using middleware servers (BizTalk, SSIS). Experience in Big Data Implementation using Spark, Scala, Hive, Hbase, and Pig. Experience in various domain like banking (credit card application), media & entertainment, Logistic and manufacturing. Specialties: Big Data Application implementation in Scala and spark using Horton works platform. Design and Implemented projects with data load up to 1 TB per hour with complex transformation.
I am a seasoned an engineering leader and platform architect who views coding as both a craft and a creative outlet. My passion for product thinking and emerging technologies drives me to continuously explore innovative tech stacks, fueling my curiosity and commitment to learning. Over the years, I have designed and built platforms from the ground up—scaling them to serve millions of users. My expertise range from building {𝐦𝐨𝐛𝐢𝐥𝐞 𝐚𝐩𝐩𝐬} to {𝗺𝗶𝗰𝗿𝗼-𝘀𝗲𝗿𝘃𝗶𝗰𝗲𝘀, 𝐝𝐚𝐭𝐚 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠, 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 & Gen AI Pipelines}. Developed product at scale leveraging below stacks/framework: 💻 Full-Stack Frameworks • MEAN (MongoDB, Express, Angular, Node.js) • MERN (MongoDB, Express, React, Node.js) 🌐 Web Frameworks • FastAPI • Pyramid • Django • Fastify • Hono (for modern TypeScript/JavaScript edge apps) 📊 Big Data & Streaming • Apache Kafka • Apache Samza • Apache Spark • AWS Kinesis • ELK Stack (Elasticsearch, Logstash, Kibana) ☁️ Cloud & Serverless • Serverless Framework (AWS Lambda, Google Cloud Functions) • Supabase • Firebase 🗄️ Databases • MongoDB • Couchbase • PostgreSQL • MySQL • AWS RDS 📱 Mobile Development • Flutter (Android & iOS) • React Native (Android & iOS) 🔐 Authorization & Policy Engines • Open Policy Agent (OPA) • OpenFGA 🧠 AI & Generative Tech • Generative AI (Gen AI) • Retrieval-Augmented Generation (RAGs) • AI Agents • Prompt Engineering 🧬 Vector Databases • Weaviate • Chroma DB • Supabase (pgvector) 🛠️ AI Frameworks & Orchestration • LangChain • LlamaIndex • CrewAI • Haystack
20 year software engineer, 10 years engineering manager. Extensive experience in Javascript/React for coding mentorship. Mentoring for 15 years a mix of technical, leadership, and professional skills. I do this for fun on the side so I don't charge much. https://www.dandigangi.com https://linkedin.com/in/dandigangi https://x.com/dandigangi
With over 15 years of experience across software engineering, architecture, and product leadership, I specialize in building high-performing engineering teams, architecting scalable systems, and driving strategic product delivery. As a Tech Lead and adjunct faculty member, I combine hands-on technical expertise with leadership, mentorship, and education to deliver enterprise-grade solutions while developing the next generation of engineers. Technology Stack: Mobile & Web: Flutter/Dart, React, Multi-tenant Architectures Cloud & Backend: AWS (AppSync, Amplify, Lambda), Firebase, GraphQL, REST APIs Languages: C/C++/C#, Dart, Java, Python, JavaScript/TypeScript Specialized: IoT, Embedded Systems, Edge AI, Information Security Architecture: Clean Architecture, Microservices, Event-Driven Systems Leadership & Roles: Tech Lead / Chapter Lead – Leading cross-functional teams of 8+ engineers Product & Engineering Manager – Driving product strategy and delivery Solutions Architect – Designing enterprise systems and multi-tenant platforms Educator & Mentor – Adjunct faculty + 300+ mentees on Codementor Key Expertise: Teaching computer science fundamentals and advanced topics Leading distributed engineering teams and establishing technical standards Architecting and delivering complex SaaS platforms Strategic product roadmapping and stakeholder management Building developer assessment frameworks and quality systems Mentoring engineers from junior to senior levels Educational Background: PhD Candidate, Computer Engineering (Edge AI Research) Master of Computer Engineering Master of Business Administration (MBA) Postgraduate Diploma, Software Development Skills (UNIX) Bachelor of Computer and Information Sciences Current Focus: Building scalable multi-tenant platforms, AI-driven development workflows, team capability development, and strategic consulting and education.
I am an expert Data Engineer having 10 years of experience with exposure on in-house, hybrid & AWS, GCP cloud services. I hold **Data Architect Nanodegree from Udacity**. My Primary skills include - - Languages - Python, PHP, Ruby, Javascript, HTML, CSS - Packages - PySpark, Pandas, Numpy, Flask, Jquery, Bokeh - Tools - Spark, Hadoop, Hive, Mysql, Postgres, Airflow - File Formats - json, csv, txt, Parquet - GCP - Cloud functions, DataProc, Bigquery, GCS - AWS - Lambda functions, API Gateway, Athena, Cloudwatch, Glue, DataBrew, Kinesis, S3, Redshift, Redshift Spectrum, SNS, SQS I mostly worked on developing, maintaining, optimising ETL/Data pipelines, used variety of tools & process during pipeline execution. Apart from building pipelines i holds good hands on building custom scripts or solutions. I am a quick learner & having positive mindset which helps me to tackle a complex problem in easy way. During my experience i optimised numerous pipelines where improved time by ~70% & saved cost with magnitude of 10th part. If you are looking for any help in learning, solving complex data problem, you are at right place. I am happy to help here. Thanks.
Independent consultant with 6 years industry experience. Ex-Google AI, buyside quant. I've been working on technically complex projects for some sixteen years, and explaining them to others for about as long. Whether that's an exposition of a high-school level math problem or educating a startup CEO on technology topics as they relate to their business, I both enjoy and am effective doing it. My core expertise is in Machine Learning, from basic research, some of it published and patented, to direct applications. Some tools and concepts I have experience using: Python, C++, PyData ecosystem (numpy, scipy, pandas, numba, etc.), pytorch, optimization (for ML and other problems, such as scheduling), SQL databases, Arrow, Parquet. Happy to help with your problems!
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