
Akhilesh Dhavileswarapu
@akhileshdhavileswara
I build production AI systems that solve customer risk and operations problems.
What I'm looking for
At JP Morgan, I build and productionize Python, SQL, and Spark pipelines processing 15M+ daily transactions for anomaly detection and fraud scoring. I work with risk, compliance, legal, and platform teams to turn ambiguous requirements into governed production solutions.
At AWS, I built an ML tool for the Neptune team that identified likely causes of slow and failed queries, reducing on-call investigation time by 30%. I owned the work from stakeholder interviews and data labeling through model training and deployment.
Previously at Accenture, I delivered ML, NLP, RAG, and real-time inference systems for large-scale enterprise data. I build with Python, PySpark, AWS, FastAPI, Docker, vector search, and predictive modeling tools.
Experience
Work history, roles, and key accomplishments
Forward Deployed AI/ML Engineer
JP Morgan
Dec 2025 - Present (9 months)
Built and productionized data pipelines processing 15M+ daily transactions for fraud detection, and deployed models in a regulated cloud environment. Owned end-to-end delivery of a real-time risk-scoring model, partnering with risk, compliance, and platform teams.
Education
Degrees, certifications, and relevant coursework
George Mason University
Master of Science, Computer Information Systems
Pursued a Master of Science in Computer Information Systems at George Mason University.
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
Interested in hiring Akhilesh?
You can contact Akhilesh and 90k+ other talented remote workers on Himalayas.
Message AkhileshGet matched with your dream remote job
Sign up now and join over 250,000+ remote workers who receive personalized job alerts, curated job matches, and more for free!
