PRABAL KUMAR
BENGALURU
Summary
Senior backend engineer with 8+ years of experience in developing scalable backend platforms and cloud-native services. Expertise in Python, Java, REST APIs, and microservices, specializing in asynchronous programming and AWS. Proficient in designing AI-driven workflows for enterprise applications, including incident analysis and anomaly detection. Demonstrated success in managing systems end-to-end, resolving production issues, and migrating large datasets while collaborating with global teams.
Overview
9
9
years of professional experience
Work History
AVP
JPMorgan
Bengaluru
09.2021 - Current
- Led the ground-up development of Stock Analytics and Strategy Analytics, the core analytics experience within JPMorgan's institutional equity portfolio platform, covering portfolio composition, risk, exposures, performance, and hedging.
- Owned the backend architecture and development for the institutional equity portfolio analytics platform, supporting global investment desks and processing analytics for 10,000+ client portfolios weekly.
- Partnered directly with trading, structuring, and sales teams to translate complex investment requirements into scalable backend capabilities; mentored engineers and conducted internal Python bootcamps.
- Led the migration of 5B+ futures and options analytics records from legacy Perl/C++ pipelines to Python-based processing and AWS Aurora, designing migration workflows for scalability and recoverability; diagnosed and resolved critical production memory leaks during rollout.
- Designed and implemented an AI-assisted reconciliation agent for time-series analytics that identified data inconsistencies and anomalies across financial datasets, automating investigation workflows and improving data-quality analysis.
- Designed and implemented production AI-agent workflows used across the firm's engineering organization for incident root-cause analysis, automated regression review, code critique, and engineering knowledge discovery.
- Architected Lens, an AI-driven engineering reuse-discovery platform that identifies existing plugins, agents, and services during solution design, helping prevent duplicate engineering efforts with an estimated business value of ~$2.5M per avoided build.
- Drove adoption and cross-team reuse of AI capabilities by designing reusable agent workflows and engineering solutions that reduced repetitive development and investigation effort.
ML Engineer
Dell Technologies
Bengaluru
09.2019 - 09.2021
- Developed machine-learning and NLP solutions for customer experience, warranty analytics, and support operations, including sentiment analysis, NER, clustering, and automated ticket classification.
- Built a FastAPI-based data-preprocessing service to standardize text-processing workflows across analytics projects.
- Developed ML and rule-based models to identify support root causes, evaluate agent compliance, and improve operational triage.
- Built information-extraction pipelines over emails and chat data to accelerate customer-support workflows.
Senior Software Engineer
UST Global
Trivandrum
01.2018 - 01.2019
- Developed anomaly detection, NLP/chatbot, speech-to-text, and automated ticket-classification solutions, improving diagnostic accuracy by 30% and ticket triage efficiency by 70%
Education
Bachelor of Technology - Computer And Information Sciences
Pranveer Singh Institute of Technology
Kanpur06-2017
Skills
- Python, Java, SQL
- Microservices, REST APIs, FastAPI, Tornado, Flask, Kafka, Asyncio, Multithreading, Multiprocessing, Event-driven architecture
- LLM applications, Agentic AI, AI agents, Prompt engineering, RAG tool calling, LLM evaluation, Agent orchestration
- LangGraph, LangChain,CrewAI
- AWS, Aurora, Lambda, Glue, Terraform, Docker
- Deep learning, NLP, Anomaly detection, Clustering, Information extraction
- MySQL, Hydra, Aurora
- API design, Performance optimization, Production troubleshooting, RCA (Root cause analysis), Data migration, System design
Accomplishments
- AWS Certified Developer – Associate and HashiCorp Certified: Terraform Associate.
- IAMAI Hackathon Finalist — Recognized for developing an innovative startup conce
- Conducted advanced Python boot camps and mentored engineers and interns at JPMorgan, helping strengthen Python development and engineering practices.
- Completed professional certifications in Deep Learning (DeepLearning.AI), Data Science (IBM), and Machine Learning (Kaggle).
Timeline
AVP
JPMorgan
09.2021 - Current
ML Engineer
Dell Technologies
09.2019 - 09.2021
Senior Software Engineer
UST Global
01.2018 - 01.2019
Bachelor of Technology - Computer And Information Sciences
Pranveer Singh Institute of Technology