Pranava Raman BMS
@pranavaramanbms
I build enterprise backend systems and AI-driven productivity experiences for high-volume applications.
What I'm looking for
I'm building enterprise productivity applications at Wells Fargo, where I own complex backend business logic for environments processing millions of requests.
I've designed database integrations and parallel-processing frameworks that reduced compute latency by 75%, while using real-time telemetry to validate deployments, monitor service health, and triage critical outages. I also developed BDD test automation frameworks that reduced manual regression bottlenecks by 80%.
I'm deeply interested in productivity, communications, and modern AI stacks. In my Agentic Test Data Generator project, I built Copilot-like data-generation capabilities using LangGraph, schema comprehension, and an MCP server to support conversational client experiences.
My work also includes a Python transcompiler, C# and Unity physics simulation, and an autonomous stock trading bot using Python backtests and Q-learning.
Experience
Work history, roles, and key accomplishments
End-to-end owner designing and developing complex backend business logic for high-volume enterprise productivity applications, scaling environments processing millions of requests. Drove feature enhancements, wrote core development plans, and established resilient batch network protocols, achieving a 75% reduction in compute latencies and reducing manual regression bottlenecks by 80%.
Implemented core solutions mitigating crucial anomalies inside high-throughput corporate business logic lines, actively expanding infrastructure maturity securely.
Investigated possible technical directions to design and validate a scalable event-driven communication network utilizing Kafka; brainstormed analytical insights ensuring real-time metrics observability.
Education
Degrees, certifications, and relevant coursework
Georgia Institute of Technology
Master of Science, Computer Science
2024 -
Grade: 3.75/4.0
Pursuing a Master of Science in Computer Science with a GPA of 3.75/4.0.
College of Engineering, Guindy, Anna University
Bachelor of Engineering, Computer Science and Engineering
2019 - 2023
Grade: 9.51/10.0
Earned a Bachelor of Engineering in Computer Science and Engineering with a CGPA of 9.51/10.0.
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Location
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