Tirth Hihoriya
Senior Software Engineer (AI ML) at Aikitech, Inc.
Sunnyvale, California, United States
Summary
👤
Senior🎓
Top SchoolTirth Hihoriya is a Senior Software Engineer specializing in AI/ML with six years of experience building production-grade, cost-efficient LLM systems and MLOps pipelines. Based in Sunnyvale, he has led architecture and deployment of agentic AI platforms handling 100K+ LLM requests/day, optimized multi-provider model routing to cut inference costs ~35%, and implemented RAG and vector search to substantially improve context accuracy. He pairs deep learning and model fine-tuning (LoRA/QLoRA) with pragmatic cloud engineering across AWS and GCP, driving latency and compute savings while maintaining 99.9% uptime. Comfortable across Python, PyTorch/TensorFlow, FastAPI, Docker, Prometheus, and vector DBs, he bridges research and production to deliver observable, scalable AI services. Notably, he has a track record of reducing failure rates and operational spend through multi-agent orchestration and observability-driven improvements. He holds an MS in Computer Science from Arizona State University and brings a bias for automation and measurable impact.
6 years of coding experience
2 years of employment as a software developer
Master of Science - MS Computer Science, Master of Science - MS Computer Science at Arizona State UniversityBachelor of Technology - BTech Computer Science, Bachelor of Technology - BTech Computer Science at Nirma University
English, Gujarati, Hindi
Stackoverflow
1reputation
0reached
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Github Skills (22)
python10
data-science10
data-manipulation10
dataframes10
pandas10
statistics10
manipulation10
data-structures10
frame10
data-analysis10
machine-learning9
scikit-learn9
scikit8
scheme4
data-structure4
Programming languages (3)
Github contributions (5)
tirth-hihoriya/homtel
Mar 2020 - May 2020
Web app showing nearby Hostel info
Contributions:28 commits, 6 pushes in 1 month
nearbyhostel
Shrey-Viradiya/LineCoding
Sep 2019 - Oct 2019
Implementation of Different Line Coding Scheme Visually.
Contributions:52 commits in 1 month
scheme
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