uday kiran
Machine Learning Engineer | MLOps Enthusiast | AI & Automation Expert
6 yrs experience · Hyderabad, Telangana · <10 hrs/week
About
I am a Senior AI Engineer with over 7 years of experience specializing in architecting enterprise-grade intelligent systems. Currently, at Netskope, I lead the development of production-ready Agentic RAG applications using LangGraph and multi-agent workflows. Previously, at ServiceNow and Swym, I designed scalable LLM-based automation tools and personalized recommendation engines. I am passionate about solving complex architectural challenges and building AI solutions that drive real autonomy.
Skills
Experience
- Senior Developer (AI & Automation) · Netskope2025-08-01 –
- Machine Learning Engineer · ServiceNow2022-07-01 – 2025-08-01
- Software Engineer (Machine Learning) · Swym2021-07-01 – 2022-07-01
- Machine Learning Engineer · Dhan AI2020-06-01 – 2021-07-01
- Technical Intern (Machine Learning) · Synopsys Inc2018-11-01 – 2020-05-01
1. Built a sentiment analysis model on IT tickets conversation data. 2. Built a keyword detection model on IT tickets conversation data. 3. Created an anomaly detection model on multi-feature time-series server data. 4. Deployed MLFlow platform on multiple servers to track different ML experiments. 5. Deployed Spark architecture using standalone mode. 6. Worked on KSQL to create a preprocessing pipeline for Syslog data. 7. Created Python scripts for anomaly detection on server and storage data using stated thresholding. 8. Deployed diskover application on multiple servers to scrape filesystem metadata and send the result data to Hadoop storage. And performed a few aggregation operations on Hadoop data using dask and send result to clickhouse.
- Back End Developer · SmatSocial2017-07-01 – 2018-10-01
1. Created a RASA NLU chatbot based on client preferences. 2. Created Python scripts to get data from different social media API and news API. 3. Played a key role to maintain the python server. 4. Created scripts to send and get data from the internal API between backend and frontend. 5. Built a simple recommendation system(Title similarity) to recommend relevant posts to the clients.
Education
- KL UniversityBachelor of Technology, Computer Science
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