Divyank Garg
Staff Software Engineer at Juniper Networks
Karnataka, India
Summary
👤
Senior🎓
Top SchoolDivyank Garg is a Staff Software Engineer at Juniper Networks with 8 years of experience specializing in productionizing AI/ML for networking telemetry, automation, and CI/CD pipelines. He blends a strong data-science foundation (MS from Texas A&M) with hands-on engineering—building distributed Ray clusters, Kafka stream pipelines, and Dockerized model deployments to accelerate model selection and anomaly detection at scale. His work spans end-to-end ML systems: LSTM forecasting, transformer fine-tuning (LoRA/QLoRA), RAG-based retrieval apps, and internal GenAI services for HR/IT and vendor RFP generation. Notably, he created reusable anomaly/forecasting libraries adopted across dozens of projects and developed novel LLM evaluation tooling (G-EVAL) to score generated responses. Based in Karnataka, India, he combines production reliability with experimental research into model tuning and prompt engineering to deliver measurable operational impact.
8 years of coding experience
6 years of employment as a software developer
Master's degree Data Science Data Analysis, Master's degree Data Science Data Analysis at Texas A&M UniversityB-Tech Production and Operation Research , B-Tech Production and Operation Research at National Institute of Technology Raipur
English, Hindi
Github Skills (50)
reinforcement-learning10
java10
optimization10
data-science9
parallel9
search-engine9
pytorch9
docker-compose9
compose9
scaling9
python9
llm9
large-language-models9
machine-learning9
elk9
Programming languages (6)
Github contributions (5)
divyankgarg/chatbot_AI
Oct 2020 - Nov 2020
Contributions:3 PRs, 3 pushes, 2 branches in 1 month
divyankgarg/ST-Dashboard_finance
Jul 2021 - Sep 2021
Contributions:4 pushes, 1 branch in 1 month
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