# Manju Yadav

> Thinking Different

Location: New York, New York, United States
Profile: https://flows.cv/manju

👋 I’m Manju, and I believe that once systems reach a certain scale, the most valuable thing an engineer can do is make them boring: predictable, reliable, and easy to operate.

My work has evolved from fixing problems myself to designing systems that don’t depend on individual heroics. I’ve led teams at Flipkart and am currently building products at Pinnacle, where I work on AI-driven meeting assistants as well as the LLM tracing and evaluation layers that support them.

What I care most about is technical stewardship: setting the right standards, abstractions, and defaults so other engineers can move quickly without taking on hidden risk. Good systems should be easy to reason about especially when things go wrong.

Alongside my core work, I’m building Sentinel AI, an open-source infrastructure platform focused on making AI systems more dependable in production. The emphasis is on correctness, traceability, and clear failure behavior, so teams can understand what their systems are doing and why.

I believe strong engineering shows up in systems that teams can trust, operate, and reason about under real-world constraints.

## Work Experience
### Software Engineer @ Pinnacle
Jan 2025 – Present | New York, United States

### Senior Software Engineer - III @ Flipkart
Jan 2021 – Jan 2022 | Bengaluru, Karnataka, India
Designed and implemented a scalable microservice architecture with Next.js and Kafka for MDM data ingestion, enabling advanced analytics and efficient data cleanup. Built robust CI/CD pipelines with GitHub, Docker, and Kubernetes, and a high-performance API Gateway integrated with Keycloak SSO, ensuring 99.9% uptime and sub-100 ms response times.

### Senior Software Engineer @ PharmEasy
Jan 2018 – Jan 2021 | Bangalore Urban, Karnataka, India
Designed and scaled a data processing framework handling large volumes daily, significantly reducing processing time and boosting efficiency. Developed a gamification feature for the delivery app, improving on-time deliveries and enhancing operational reliability and performance.

### Software Engineer @ S&P Global
Jan 2014 – Jan 2018 | Gurugram
Enabled real-time updates in the ratings team’s ETL processes, improving synchronization between market trends data and credit risk metrics.

Replaced Microsoft Interoperability with Open XML for Excel file processing, enhancing overall system performance and efficiency.

Developed a natural language processing tool for FINRA document summarization, streamlining document review workflows and improving productivity.


## Education
### Master's degree in Computer Science
University of Cincinnati - College of Engineering and Applied Science

### Bachelor of Technology - BTech in Information Technology
Indian Institute Of Information Technology Allahabad

### Graduate in Data Science and Big Data Analytics
Harvard Extension School


## Contact & Social
- LinkedIn: https://linkedin.com/in/manjuyyadav

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Source: https://flows.cv/manju
JSON Resume: https://flows.cv/manju/resume.json
Last updated: 2026-04-01