M. Haseeb Javed

Senior Software Engineer @ Palantir Technologies

Country

United States

City

New York City Metropolitan Area

Industry

Computer Software

Skill

Node.js, Mean Stack, Java, JavaScript, Scala, Apache Spark, Hadoop, C++, SQL, MongoDB, Microsoft Office, Teamwork

Experience

Senior Software Engineer

Palantir Technologies

2023-2 - Present · 3 yrs 8 mos

New York City Metropolitan Area

Software Engineer II

Amazon Web Services (AWS)

2022-4 - 2023-2 · 11 mos

Seattle, Washington, United States

Software Engineer

Amazon Web Services (AWS)

2020-4 - 2022-4 · 2 yrs 1 mo

Seattle, Washington, United States

Research Assistant

The Ohio State University

2016-8 - 2019-12 · 3 yrs 5 mos

Columbus, Ohio Area

Designed and implemented Frieda; an optimized, high-performance messaging system inspired by Apache Kafka. Our evaluations show improvement of up to 10x for throughput and up to 90% in terms of latency.

Instructor

The Ohio State University

2016-8 - 2017-5 · 10 mos

Columbus, Ohio Area

Instructor for an undergraduate Java programming course and grader for introductory Systems course. Responsible for delivering class lectures, conducting lab sessions and grading assignments and exams.

Visiting Research Fellow

Berkeley Lab

2019-5 - 2019-8 · 4 mos

San Francisco Bay Area

Used Roofline Model to analyze performance bottlenecks in distributed training of Deep Learning models. We were able to achieve 3.5X speedup from the optimizations guided by our analysis compared to vanilla TensorFlow.

Visiting Researcher

Industrial Technology Research Institute (ITRI)(工業技術研究院, 工研院)

2018-6 - 2018-8 · 3 mos

Hsinchu County/City, Taiwan

Researched support for transaction bound operations on a storage middle ware developed in-house Extensive use of system level C/C++ with multi-threading support using pthreads.

Full Stack Engineer

Upwork

2014-1 - 2016-8 · 2 yrs 8 mos

Worked on various projects as a freelance full-stack engineer. Two bigger projects that I worked on include developing an aggregated social media platform based on geo-tagged feeds visualized on Google Maps and an apartment rental portal targeting Singapore. The product became one of the most widely used real estate websites for Singapore's market.