# Kshitij Kumar

> Agentic AI, Databases, Distributed Systems | Python, TypeScript, Java | MSCS @SUNY Buffalo | Seeking Full Time Opportunities

Location: San Francisco, California, United States
Profile: https://flows.cv/kshitij

I am a Software Engineer with a Master’s in CS and a background in Mathematics, with keen interest in developing robust distributed systems and AI Agents.

With 3 years of professional experience, I specialize in building fault-tolerant, high-throughput software. My engineering philosophy is simple: 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 𝘀𝗵𝗼𝘂𝗹𝗱 𝗯𝗲 𝗿𝗲𝗹𝗶𝗮𝗯𝗹𝗲 𝗯𝘆 𝗱𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗯𝘆 𝗱𝗲𝗳𝗮𝘂𝗹𝘁.

Core Strengths:

𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: Python, Java, TypeScript, JavaScript, C++, SQL
𝗕𝗮𝗰𝗸𝗲𝗻𝗱/𝗗𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀:  Spring Boot, FastAPI, Spring Cloud, Node.js, Apache Kafka, RabbitMQ, Flink, Hibernate
𝗔𝗜/𝗟𝗟𝗠 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴: LangGraph, LlamaIndex, Agentic Workflows, PgVector, RAG Pipelines
𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱: React, Next.js, Angular, HTML, CSS
𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: PostgreSQL, MongoDB, Redis, Oracle, MySQL, Snowflake, Elasticsearch
𝗖𝗹𝗼𝘂𝗱/𝗗𝗲𝘃𝗢𝗽𝘀: AWS, Docker, Kubernetes, Airflow, Git, Apache Tomcat, NginX, Maven
𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 & 𝗗𝗮𝘁𝗮: Python, NumPy, Pandas, scikit-learn, TensorFlow, PyTorch
𝗠𝗮𝘁𝗵𝗲𝗺𝗮𝘁𝗶𝗰𝗮𝗹 𝗙𝗼𝘂𝗻𝗱𝗮𝘁𝗶𝗼𝗻𝘀: Linear algebra, probability theory, optimization, statistics


I have engineered migration pipelines handling terabytes of data using Kafka and Debezium, and developed real-time collaborative platforms (Google Docs clone) using CRDTs to solve complex concurrency challenges. I have hands-on experience developing scalable backend systems using Spring Boot and designing responsive frontend interfaces with Angular and React. 

Currently, I am applying this rigorous engineering mindset to build autonomous agents and RAG pipelines that solve actual business problems.

I’m actively exploring roles in software development, applied machine learning, or quantitative engineering where I can contribute to impactful, high-performant data-driven solutions.

## Work Experience
### Software Engineer @ University at Buffalo
Jan 2024 – Present

### Software Engineer @ Wipro
Jan 2021 – Jan 2024 | Bengaluru, Karnataka, India
• Engineered a migration pipeline in 𝗝𝗮𝘃𝗮, 𝗦𝗽𝗿𝗶𝗻𝗴 𝗕𝗼𝗼𝘁, leveraging 𝗗𝗲𝗯𝗲𝘇𝗶𝘂𝗺 for CDC and 𝗔𝗽𝗮𝗰𝗵𝗲 𝗞𝗮𝗳𝗸𝗮 to stream updates from sources (Oracle Redo Logs, MySQL Binlogs, PostgreSQL WALs) to diverse targets (𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, 𝗠𝗦𝗦𝗤𝗟, 𝗦𝗻𝗼𝘄𝗳𝗹𝗮𝗸𝗲, 𝗕𝗶𝗴𝗤𝘂𝗲𝗿𝘆, 𝗥𝗲𝗱𝘀𝗵𝗶𝗳𝘁).

• Implemented 𝗗𝗲𝗮𝗱 𝗟𝗲𝘁𝘁𝗲𝗿 𝗤𝘂𝗲𝘂𝗲𝘀 to isolate and replay < 0.5% of failed events and drifted data, preventing pipeline blockage during complex schema conversions.

• Architected a real-time validation software utilizing LSN-based watermarking to monitor Eventual Consistency and Replication Lag, ensuring 99.999% data integrity across cross-vendor ecosystems.

• Spearheaded the transition to Microservices, implementing an 𝗔𝗣𝗜 𝗚𝗮𝘁𝗲𝘄𝗮𝘆 with granular 𝗧𝗼𝗸𝗲𝗻 𝗕𝘂𝗰𝗸𝗲𝘁 rate limiting policies to prevent Noisy Neighbor issues and DDoS attacks.

• Optimized the Data Validation module by combining queries via 𝗔𝗽𝗮𝗰𝗵𝗲 𝗗𝗿𝗶𝗹𝗹 with 𝗖𝗗𝗖 𝘀𝘁𝗿𝗲𝗮𝗺 analysis, verifying records across 10+ database dialects and 𝗿𝗲𝗱𝘂𝗰𝗶𝗻𝗴 𝘃𝗮𝗹𝗶𝗱𝗮𝘁𝗶𝗼𝗻 𝘁𝗶𝗺𝗲 𝗯𝘆 ∼31%.

• Partnered with a Principal Architect to develop a predictive DB Selection Framework from scratch using 𝗣𝘆𝘁𝗵𝗼𝗻 and 𝗙𝗮𝘀𝘁𝗔𝗣𝗜; the tool analyzed I/O patterns and storage growth to identify optimal migration targets, projecting cloud infrastructure 𝘀𝗮𝘃𝗶𝗻𝗴𝘀 𝗼𝗳 ∼25%.

• Secured stakeholder interest by demonstrating this framework to 10+ potential clients including 𝗔𝗡𝗭 𝗕𝗮𝗻𝗸, 𝗠𝗮𝘇𝗱𝗮, 𝗕𝗮𝗻𝗸 𝗼𝗳 𝗔𝗺𝗲𝗿𝗶𝗰𝗮, 𝗖𝗵𝗮𝗿𝗹𝗲𝘀 𝗦𝗰𝗵𝘄𝗮𝗯 and 𝗙𝗼𝗿𝗱.

• Wrote clean, maintainable, and testable code following CI/CD best practices using 𝗚𝗶𝘁 and Maven while mentoring and conducting code reviews for a team of 2 junior developers.

### Machine Learning Engineer Intern @ TheSmartBridge
Jan 2020 – Jan 2020
Analysed the data, applied appropriate machine learning model to it, and using the Node RED flows, deployed it on IBM Cloud.


## Education
### Master of Science - MS in Computer Science
University at Buffalo
Jan 2024 – Jan 2026

### Integrated MSc in Mathematics and Computing
Birla Institute of Technology, Mesra
Jan 2016 – Jan 2021


## Contact & Social
- LinkedIn: https://linkedin.com/in/kshitij-kumar-a-sentient-bot

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Source: https://flows.cv/kshitij
JSON Resume: https://flows.cv/kshitij/resume.json
Last updated: 2026-03-20