Murali Venkateswara Gopi Krishna Ponnada

About Me

I'm a results-driven developer who thrives in backend-heavy and data-intensive environments. I specialize in Python and have worked extensively on Bank of America’s in-house Quartz platform, building systems that process millions of trades with high accuracy and low latency. I'm curious, a fast learner, and focused on solving real-world problems — quietly, but effectively.

Technical Focus

I’m currently working in FinTech, building scalable systems and resolving production-critical bugs that impact P&L and trade data integrity. Recently, I’ve started exploring machine learning — particularly how it can fit into large-scale data pipelines.

Problem Solving Approach

I believe the real challenge is not just writing code — it’s understanding the system end-to-end. I debug by tracing issues from the surface all the way back through layers of code, logs, and architecture until I find the root cause. I’ve resolved production issues involving downstream position mismatches, latency in real-time trade data, and even coordinated AMPS server upgrades to handle message spikes.

Team Mindset

I work well both independently and with cross-functional teams — often jumping in during critical situations. Whether it’s helping teammates late at night or explaining fixes to business users, I stay calm, collaborative, and focused on getting things done without fuss.

Side Projects

• Voice-Based Healthcare App – Angular, Django, NLP
  Designed a hands-free platform for patients, physicians, and caretakers — enabling accessible online healthcare.
• Blood Bank Management System – AWS, React.js, Node.js
  Built a cloud platform for blood donations and inventory tracking using AWS Lambda, S3, DynamoDB.
• Health Reddit Analysis – Python, MongoDB
  Performed sentiment analysis on health-related Reddit discussions using topic modeling.
• Chatbot for Employee Queries – Python, Flask
  Created a bot to answer common queries and process software access requests — reduced manual workload by 30%.

How I Work

I enjoy building new features, improving broken systems, and learning from what I build. I’m curious about design patterns and architecture — and though I’m still learning, I love diving deep. I don’t chase attention — I let the results speak for themselves.