Kartikey Pant
Senior Engineer @ Salesforce | Distributed Systems & AI Research | 2x Speaker @ Flink Forward (Barcelona & Singapore)
- Role
- Senior Member of Technical Staff at Salesforce
- Location
- Hyderabad, TG, IN
- LinkedIn followers
- 500 followers
About Kartikey Pant
I operate at the intersection of Distributed Systems and AI Research.My engineering philosophy is built on a distinct technical evolution:1. Algorithmic Roots: My foundation in competitive programming (Topcoder/USACO) instilled a discipline for algorithmic efficiency and edge-case handling that governs my code today.2. Research Depth: Through publishing 10+ papers ACL), I developed a first-principles understanding of Natural Language Processing and probabilistic models.3. Systems Scale: Currently, I specialize in Stream Processing. At Salesforce, I build core platform components for \"Flink-as-a-Service,\" solving the concurrency, state management, and JVM-level challenges required to run stateful applications at enterprise scale.Technical Outlook: I am technically obsessed with the convergence of Stream Processing and Generative AI.As the industry moves from static models to agentic flows, I believe we need new architectural patterns to handle non-deterministic state. I am interested in the infrastructure required to make these agents reliable, auditable, and enterprise-ready.
Experience
Senior Member of Technical Staff
Aug 2023 — Present · Hyderabad, IN
Global Thought Leadership: Presented novel event-driven architectures (\"From Logs to Logic\") at Flink Forward Barcelona 2025 and Flink Forward Asia 2025 (Singapore), representing Salesforce engineering on the global stage.• Platform Architecture: Architected a mission-critical, Flink-based ETL service. Built custom Flink operators to handle multi-terabyte state for 100+ tenants, solving critical concurrency challenges.• Performance Engineering: Slashed E2E latency by 5x (minutes → seconds) by optimizing Flink checkpointing mechanisms and debugging JVM garbage collection bottlenecks. This enabled near real-time incident response and accelerated root cause analysis.• High-Scale Reliability: Achieved >99.9% data completeness by re-engineering the fault-tolerance primitives to handle node failures in massive distributed clusters. Also provided highly reliable and actionable metrics that increased trust and adoption among internal customers.
Education
International Institute of Information Technology Hyderabad (IIITH)
Master of Science - MS, Computational Linguistics
2015 — 2020
International Institute of Information Technology Hyderabad (IIITH)
Bachelor of Technology (B.Tech. ) Honours, Computer Science
2015 — 2020
Ambience Public School
Senior Secondary School Degree, Science
2001 — 2015
Skills
- Django
- Node.js
- Writing
- Android Development
- Python
- C
- C++
- Algorithms
- Web2py
- Angularjs
- Javascript
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