Mahesh Hegde
LMTS at Salesforce
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolMahesh Hegde is a seasoned back-end and infrastructure engineer with 13 years of experience building data-intensive, high-availability systems and scalable frameworks. He has driven measurable improvements—designing pipelines and Elasticsearch clusters that handle hundreds of millions of documents and delivering 99.9% availability with sub-2-minute ingestion delays. At Tracxn he led migrations from Groovy to Java, built asynchronous job and email frameworks at scale, and implemented cost- and performance-focused optimizations. Now an LMTS at Salesforce, he blends hands-on systems design with pragmatic architecture and automation. An active open-source contributor since college, he authored video metadata APIs for Exiv2 and a face-recognition feature in Digikam, highlighting a long-standing interest in multimedia and computer vision. Known for turning complex retrieval and monitoring challenges into maintainable, efficient solutions, he pairs deep technical execution with a focus on operational reliability.
13 years of coding experience
11 years of employment as a software developer
Class X (87%) and class XII (86%) from CBSE board, Science, Class X (87%) and class XII (86%) from CBSE board, Science at Jawahar Navodaya Vidyalaya Panchavati,Uttara KannadaBachelor of engineering (B.E.) (7.01/10), Telecommunication Engineering, Bachelor of engineering (B.E.) (7.01/10), Telecommunication Engineering at Peoples Education Society Institute of Technlogy
Github Skills (9)
application-management10
xmp10
metadata10
exif10
iptc10
cli10
photo-management9
photo9
snap8
Programming languages (1)
Github contributions (5)
maheshmhegade/NewFaceRecognition
Feb 2013 - Feb 2013
Contributions:33 commits in 19 days
maheshmhegade/PC-Enabled-Signal-Generator
May 2013 - May 2016
Contributions:25 commits, 3 pushes in 3 years
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