Mohit Kumar profile photo 1 on Tal

Mohit Kumar

1xFounding Engineer | Engineering @ UC | CSE’21 @ IITK | Sprinklr, Krutrim

Alwar

5+ years of work experience

Urban Company
Aug 20251 yr 3 mosPresent

Sprinklr
Mar 20256 mosAug 2025

• ScyllaDB to Cassandra Migration - Led end-to-end migration of 500TB data from ScyllaDB to managed Cassandra, achieving USD 122K annual cost savings. – Designed a zero-downtime, token-range based migration pipeline in Java using dual-writes and read-compare validation. Owned infrastructure sizing, capacity planning, and detailed cost analysis across AWS and Azure. • Elastic Search Thread Pool Optimization - Built a fair scheduling thread pool to prioritise low-latency requests and prevent resource hogging. Boosted throughput by 13%, cut p99 latency by 60%, and ensured consistent performance for time-sensitive workloads.
Sprinklr
Sep 20247 mosMar 2025

On-site

Krutrim
Jun 20213 yrs 4 mosSep 2024

• Routing Engine - Led the development of an in-house routing engine in Java focusing on Nearest Search and Map Matching. – Implemented a memory-efficient spatial indexing system using R-Trees for nearest APIs, and designed map-matching using Hidden Markov Models (HMM) backed by an A* based routing service. Achieved system throughput of 50K RPM with p99 latency ∼ 50ms. • Route Optimization - Designed popularity-based routing using live cab pings, reducing ETA deviation and saving USD 32K/month. • ETA Calculator - Led end-to-end development of a real-time ETA computation system using live cab ping data. Built a distributed streaming pipeline using Scala Spark Streaming processing 1.5M+ events/min – Utilized Kafka for reliable ingestion and downstream propagation of ETA events. Integrated GraphHopper for internal routing and path-based ETA computations. Achieved ETA accuracy of 96% within 2 minutes and 99.8% within 3 minutes deviation compared to Google. • Historical ETA Pipeline - Designed and implemented a large-scale batch ETA generation system. – Developed a PySpark job to compute historical ETA by consuming raw ETA datasets from S3. Processed 12 TB+ of data with optimized partitioning and fault-tolerant execution. • Track Ride — Led end-to-end development of a real-time ride tracking system using live cab pings and route deviation detection. Implemented the core service in Golang for low-latency processing of live location updates – Integrated with external routing services to detect route deviations and trigger dynamic route recalculations. Leveraged Memcache for efficient in-memory storage and fast retrieval of ride state and tracking metadata.
Nutanix
May 20183 mosJul 2018

Kanpur Nagar, Uttar Pradesh, India

Mohit’s AI Stack

Genspark
Genspark
Portkey
Portkey
Synthesia
Synthesia

Education

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

Bachelor of Technology, Computer Engineering

INDIAN INSTITUTE OF TECHNOLOGY KANPUR

20174 yrs2021

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Mohit Kumar on Tal

Headline

1xFounding Engineer | Engineering @ UC | CSE’21 @ IITK | Sprinklr, Krutrim

About

https://topmate.io/mohit_kumar2707/

Location

Alwar

AI stack

Genspark

Portkey

Synthesia

Work experience

SDE3 (Tech Lead) at Urban Company, Aug 2025 - Present · 1 yr 3 mos

Lead Software Engineer at Sprinklr, Mar 2025 - Aug 2025 · 6 mos, • ScyllaDB to Cassandra Migration - Led end-to-end migration of 500TB data from ScyllaDB to managed Cassandra, achieving USD 122K annual cost savings. – Designed a zero-downtime, token-range based migration pipeline in Java using dual-writes and read-compare validation. Owned infrastructure sizing, capacity planning, and detailed cost analysis across AWS and Azure. • Elastic Search Thread Pool Optimization - Built a fair scheduling thread pool to prioritise low-latency requests and prevent resource hogging. Boosted throughput by 13%, cut p99 latency by 60%, and ensured consistent performance for time-sensitive workloads.

Senior Software Engineer at Sprinklr, Sep 2024 - Mar 2025 · 7 mos, On-site

Founding Engineer @ Ola Maps at Krutrim, Jun 2021 - Sep 2024 · 3 yrs 4 mos, • Routing Engine - Led the development of an in-house routing engine in Java focusing on Nearest Search and Map Matching. – Implemented a memory-efficient spatial indexing system using R-Trees for nearest APIs, and designed map-matching using Hidden Markov Models (HMM) backed by an A* based routing service. Achieved system throughput of 50K RPM with p99 latency ∼ 50ms. • Route Optimization - Designed popularity-based routing using live cab pings, reducing ETA deviation and saving USD 32K/month. • ETA Calculator - Led end-to-end development of a real-time ETA computation system using live cab ping data. Built a distributed streaming pipeline using Scala Spark Streaming processing 1.5M+ events/min – Utilized Kafka for reliable ingestion and downstream propagation of ETA events. Integrated GraphHopper for internal routing and path-based ETA computations. Achieved ETA accuracy of 96% within 2 minutes and 99.8% within 3 minutes deviation compared to Google. • Historical ETA Pipeline - Designed and implemented a large-scale batch ETA generation system. – Developed a PySpark job to compute historical ETA by consuming raw ETA datasets from S3. Processed 12 TB+ of data with optimized partitioning and fault-tolerant execution. • Track Ride — Led end-to-end development of a real-time ride tracking system using live cab pings and route deviation detection. Implemented the core service in Golang for low-latency processing of live location updates – Integrated with external routing services to detect route deviations and trigger dynamic route recalculations. Leveraged Memcache for efficient in-memory storage and fast retrieval of ride state and tracking metadata.

SDE at Nutanix, May 2018 - Jul 2018 · 3 mos, Kanpur Nagar, Uttar Pradesh, India

Education

Bachelor of Technology, Computer Engineering, INDIAN INSTITUTE OF TECHNOLOGY KANPUR