Tejas Morkar
Download PDFSoftware Engineer | LLMs, RAG and agentic systems | Pune, India
Experience
Software Engineer II (MTS II) · Cohesity
Dec 2024 - Present- Working on Gaia, Cohesity's generative AI assistant that uses RAG and LLMs to give insights from enterprise backup data.
- Implementing secure, private data integration so customers can have conversations with AI about their own data.
- Enabling natural-language queries for enterprise knowledge discovery.
Associate Software Engineer · Veritas
Jul 2022 - Dec 2024- Explored and built AI features to solve customer problems using LangChain, LlamaIndex and Azure OpenAI GPT models.
- Built Alta Copilot, a multi-agent LangGraph system with RAG, NL-to-SQL and decision-making agents for help, report generation and autonomous data protection. Implemented the LangGraph framework from scratch and set up LLMOps evaluation pipelines and observability with Arize Phoenix.
- Developed chatbot solutions, task automation, and predictive analysis pipelines.
- Worked on NetBackup and Alta View modules with Java, Spring Boot, and WebSockets.
Information Security Intern · PTC
Aug 2021 - Jun 2022- Handled live cybersecurity incident investigations and built tools using vendor APIs.
- Performed threat hunting, vulnerability assessments, and infrastructure scripting.
ML Software Developer Intern · CDAC
Sep 2020 - Mar 2021- Researched adversarial ML techniques and built fake-news detection models using BERT and GRU-based RNNs.
Education
Pimpri Chinchwad College of Engineering (PCCoE), Pune
2018 - 2022B.E. in Computer Science, 9.51 CGPA with Honors in AI and Machine Learning
Skills
LLMs & RAG · Agentic systems (LangGraph, AutoGen, Semantic Kernel) · LangChain / LlamaIndex · OpenAI & Gemini APIs · Deep Learning (CNNs, GANs) · TensorFlow · Python · Java / Spring · TypeScript / JavaScript · MongoDB / MySQL · Azure, AWS, GCP