Muhammad T.

About Muhammad T.

Senior ML infrastructure engineer with proven chops in large-scale bird fine-tuning. I actually trained six custom models, each on GCP\'s TPUs, specifically for search re-ranking, getting sub-100 millisecond latency on live traffic. Before that, I was deep in Hadoop, wrote Spark jobs that nightly chewed 50 terabytes of clickstream, no batch failures in two years. Solar, Elasticsearch, used them side-by-side for hybrid search. One for speed, one for depth. Plus, I hand-wrote Lucene analyzers so indexes didn\'t explode after big campaigns. Oh, and anomaly detection, Piped HPE Vertica straight into Kibana dashboards, caught fraud spikes before money moved. Experienced Search Specialist with a deep understanding of search engine algorithms and optimization strategies. A proven track record of driving organic traffic growth and improving search engine ranking algorithms for websites across various industries. Skilled in conducting comprehensive keyword research, optimizing on-page and off-page SEO factors, and staying up-to-date with the latest SEO trends. Committed to delivering measurable results and enhancing online visibility for clients.Building and managing high-performing teams, fostering collaboration, and driving a culture of ownership and innovationAligning engineering roadmaps with business goals, resource planning, and managing budgets. Designing scalable, secure, and high-performance systems. Implementing Agile methodologies, CI/CD pipelines, and cloud-native architectures. Partnering with product, design, and business stakeholders to ensure alignment and value delivery. Cloud platforms (AWS, Azure, GCP), microservices, APIs, distributed systems, and modern development frameworks. Growing engineering talent, defining career paths, and fostering technical and leadership skills.

Experience

1. Lead Technical Architect Developer

   Daikin Applied Americas

   Jun 2024 — Present · Minneapolis, MN, US

   Collaborated with data architects and engineering teams to design and implement robust data ingestion pipelines from APIs, files, and databases (both structured and semi-structured)Developed and maintained ETL/ELT jobs using Python and Java to transform raw data into curated datasets across hybrid cloud environmentsBuilt scalable batch and streaming solutions for ingesting high-volume datasets using Spark and KafkaEstablished secure data transfer pipelines using sFTP, encryption, and file-based ingestion protocolsCreated automated SQL procedures, views, and indexes to optimize reporting and downstream analysis workloadsEnsured high data availability for analytics teams by implementing monitoring, alerting, and data validation layersDeveloped SQL-based data transformations and pipelines in Snowflake using Snowpipe and Streams & Tasks for near real-time ingestionTrained ML model that combines daikin data with machine learning to predict the similarities of search terms — all wrapped in a clean, interactive web application. It uses Daikin data from different datasources, BERT/SBERT ML model, pandas, numpy, MinMaxScaler for data processing and matplotlib, streamlit for visualization.Developed and maintained web applications using React.js and Node.js, ensuring high performance, usability using GitHub Copilot to optimize development workflows, reducing code review time and improving efficiencyDesigned GraphQL schemas with type definitions, queries, mutations, and subscriptions to meet business requirementsWorked on resolvers to fetch data from various sources like databases, REST APIs, or third-party servicesSkills: GIT(CoPilot), MS teams, Linux, Python(NumPy, pandas, TensorFlow, and PyTorch), Bash scripting, Coveo search, Jenkins, PostgreSQL, React.JS, Node.JS, Typescript, JAVA, Docker, Apache Cassandra, Databrick, CloudFront Cloudflare, GraphQL, Lucidchart, OpenAI, LLMs (OpenAI, BERT)

Education

• Bahauddin Zakariya University

  Bachelor's degree, Computer Science

• COMSATS Institute of Information and Technology

  Master of Science - MCS, Computer Science

  2002 — 2004

• The City College of New York

  Master of Science - MS, Computer Science

  2007 — 2009