Saiteja Talluri

Senior Software Developer at Optiver

Amsterdam, North Holland, Netherlands
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Summary

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Senior
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Saiteja Talluri is a Senior Software Developer at Optiver Amsterdam with eight years of experience building low-latency market data and execution systems and automating large-scale trading strategies for U.S. markets. An IIT Bombay honors graduate in Computer Science with a minor in Electrical Engineering, he blends strong academic research in NLP and math problem solving with hands-on experience in ML, CV, and blockchain from internships and a Google Summer of Code contribution to OpenCV. At Optiver he focuses on exchange protocols across screen trading and OTC stacks, while previously shipping production ML prototypes for Panasonic and Rupeek and game systems at Ubisoft. He has a track record of mentoring and leadership—winning Best TA awards and leading a 24-person mentorship program at IIT Bombay—so he pairs deep technical delivery with coaching and process ownership. Notably, he has implemented facial-landmark Python bindings for OpenCV and worked on compact landmark models, reflecting an appetite for optimizing models for real-world constraints.
code8 years of coding experience
job4 years of employment as a software developer
bookIntermediate MPC, Intermediate MPC at Sri Chaitanya College of Education
bookIndian Institute of Technology Bombay
bookMatriculation, Matriculation at Sri Chaitanya Techno School, Bangalore
languagesTelugu, English, Hindi
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Stackoverflow

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Github Skills (15)

face10
opencv10
deep-learning9
voice9
speech-recognition8
google7
nlp6
natural-language-processing6
computer-vision4
pytorch4
crossword1
datastructures-algorithms1
phonetics1
math1
factorization1

Programming languages (2)

C++Python

Github contributions (5)

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saiteja-talluri/Speech2Face

Oct 2019 - Aug 2020

Implementation of the CVPR 2019 Paper - Speech2Face: Learning the Face Behind a Voice by MIT CSAIL
Contributions:1 review, 25 commits, 16 pushes in 10 months
deep-learningspeech-recognitionvoicecvpr-2019cvpr
Implementation of the the CVPR 2017 paper "Context-aware Captions from Context-agnostic Supervision"
Contributions:10 commits, 1 PR, 8 pushes in 6 months
context-awarenlppytorchdeep-learninggoogle
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