AI Engineer
AXISWEB SOFT TECHNOLOGY · May 2021 – Aug 2026
- Designed and delivered AI, ML, GenAI, and Agentic AI solutions, improving automation and reducing manual business effort by 40%.
- Built LLM-powered applications using Azure OpenAI, Python, LangChain, and LangGraph, accelerating AI solution delivery by 35%.
- Developed RAG platforms using embeddings and vector search to provide secure, context-aware answers across large enterprise datasets, reducing information-search time by 60%.
- Designed AI agents and multi-agent workflows to automate complex research, analysis, and decision-making processes, reducing manual effort by 65%.
- Developed and deployed machine learning models for prediction, classification, and business analytics, improving data-driven decision-making.
- Built Python, FastAPI, and REST-based AI services, enabling integration of AI capabilities into enterprise applications and workflows.
- Implemented CI/CD and automated deployment pipelines using Git and Azure DevOps, reducing deployment effort and improving release consistency.
- Led troubleshooting and production support for AI applications, APIs, data pipelines, and model workloads, reducing resolution time by 30%.
- Partnered with business, product, data, and engineering teams to translate business requirements into scalable AI solutions, reducing AI solution time-to-market by 35%.
- Designed and developed AI/ML data pipelines using Azure Data Factory, Databricks, and Synapse, improving data processing efficiency by 30%.
- Automated AI/ML workflow orchestration and scheduling, reducing manual pipeline management and operational effort by 40%.
- Optimized complex SQL and PySpark data-processing workflows used for AI/ML applications, improving data extraction and transformation performance by 25%.
- Improved ETL/ELT and data preparation workflows supporting AI and GenAI applications, reducing operational effort by 15% and improving overall pipeline reliability.