Ganesh Nagal

AI Engineer specializing in production-grade Generative AI systems, distributed backend services, and cloud-native infrastructure. Experienced in building scalable AI workflows, RAG systems, asynchronous microservices, and Kubernetes-based deployments using Python, FastAPI, PostgreSQL, Redis, and multi-model LLM orchestration.

AI Engineer at Prospire Technology Services Pvt. Ltd. (2025-05 – Present)

• Contributed to the migration from a legacy Elasticsearch-only architecture to a hybrid PostgreSQL + Elasticsearch data layer for scalable relational and topology services.
• Developed distributed background worker systems using Redis locking and TTL refresh mechanisms to ensure reliable execution of long-running AI ingestion and analysis workflows.
• Enhanced AI-powered chat workflows with asynchronous streaming, context-aware terminal execution, and automated LLM-driven session management.

AI Engineer at Prospire Technology Services Pvt. Ltd. (2025-05 – Present)

• Built an automated documentation generation service capable of ingesting repositories and generating structured technical wiki pages using LLM workflows.
• Implemented a PostgreSQL + pgvector based RAG pipeline enabling semantic retrieval over large codebases while grounding AI-generated outputs in source code context.
• Developed context-aware generation workflows that injected dependency-aware memory into prompts for accurate cross-referenced documentation generation.

AI Engineer at Prospire Technology Services Pvt. Ltd. (2025-05 – Present)

• Managed Kubernetes-based production infrastructure on Google Cloud using Helm deployments, autoscaling node pools, and containerized microservices.
• Implemented secure CI/CD pipelines using GitHub Actions with Workload Identity Federation (OIDC) for keyless authentication and automated deployments.
• Automated database migration and rollback workflows using Kubernetes Jobs and Helm atomic upgrade strategies.

Data Science Intern at Flip Robo Technologies (2023-03 – 2023-10)

• Developed machine learning and NLP pipelines for classification and sentiment analysis tasks using transformer-based architectures.
• Built data preprocessing and ETL workflows using Pandas and SQL for model-ready datasets.
• Implemented fine-tuning workflows using BERT-based transformer models for domain-specific text analysis.

M.Tech in Advanced Manufacturing & Design – IIT Jodhpur (2023 – 2025)

PG Diploma in Data Science, Machine Learning & Neural Networks (2022 – 2023)

B.E. in Production & Industrial Engineering – MBM Engineering College (2018 – 2022)