Riyaz Khorasi
Senior AI/ML Engineer at Accenture | Masters in Applied AI at University of San Diego, USA (2025 - 2027)
Hyderabad, India
riyazkhorasi@gmail.com
Senior AI/ML Engineer with over 6+ years of experience delivering innovative AI/ML and Generative AI solutions across diverse industry verticals. Demonstrated expertise in designing, building, and deploying scalable enterprise-grade AI systems using LLMs, RAG pipelines, Agentic AI, multi-agent frameworks, cloud-based AI platforms and responsible AI practices. Committed to developing cutting-edge AI solutions that align with business goals, drive operational efficiency, and deliver measurable business outcomes.
Senior AI/ML Engineer
Accenture
- Designing and implementing production AI solution across Agentic systems, RAG pipelines, LLMs, and multi-model orchestration.
- Engineering custom tool-calling agents and orchestration engines in Python and FastAPI, enabling autonomous multi-step reasoning and integration with client legacy APIs and enterprise databases platforms.
Data Scientist - Gen AI
Alter Domus
- Engineered a Gen AI-powered automation tool for financial spreading, enabling structured extraction of financial documents across multiple clients; reduced manual effort by 50% and processing time by 60%.
- Leveraged GenAI techniques to build intelligent automation workflows, thereby integrating Responsible AI guardrails to ensure data privacy and security of confidential financial records, improved document retrieval, and eliminated reliance on legacy rule-based systems through prompt engineering.
- Collaborated closely with AI engineering and financial operations teams to deliver a production‑grade Generative AI solution for financial document analysis on the Databricks platform, implementing robust system integration, data validation pipelines, and a user‑friendly interface using GenAI technologies, Python, and SQL databases.
AI/ML Engineer
CriticalRiver Technologies Pvt. Ltd.
- Executed successful end-to-end AI/ML & Gen AI proof of concepts and client projects across multiple industries, including BFSI, healthcare, retail, and ITSM. This involved everything from initial data collection to model prediction and deployment, ensuring consistent model quality and reliability and performance using Python, Snowflake, and SQL databases.
- Contributed to the development of Gen AI use cases by fine-tuning LLMs, building the RAG systems, and implementing advanced prompt engineering techniques.
- Collaborated with clients to identify opportunities for process automation using AI, driving operational efficiency by developing tailored AI/ML solutions to address specific business challenges and improve decision-making efficiency, and
- reduced operational costs by 30%.
Senior Associate
Wipro Limited
- Contributed to a Google AdWords-Data Quality project specializing in machine learning tasks, where my primary responsibilities included precisely labeling the text data from diverse web advertisements, ensuring adherence to Google policies, and then preprocessing the labeled data by implementing comprehensive machine learning cleaning techniques. •
- Consistently upheld quality standards through inspection of data and contributed to the continuous improvement of processes for enhanced efficiency by 20%.
Master of Science in Applied Artificial Intelligence
University of San Diego
Postgraduate Program in Data Science, Big Data Analytics andOptimization
International School of Engineering (INSOFE) - Carnegie Mellon University.
Bachelor of Engineering in Computer Science Engineering
Osmania University
Attendee · Oct 24, 2026