Kanishk Gahlot

Software Engineer

Gurugram, Haryana, India2 yrs 9 mos experience

Key Highlights

Expert in architecting scalable backend systems.
Led development of innovative AI-driven platforms.
Achieved significant performance and cost optimizations.

Stackforce AI infers this person is a Backend Software Engineer specializing in SaaS solutions with a focus on system design and architecture.

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Skills

Core Skills

JavaMicroservicesSystems Design

Other Skills

Java ConcurrencyKafkaRedisSparkElasticsearchSpring BootInfluxDBScyllaDBGoogle Cloud Platform (GCP)Software DevelopmentAmazon Web Services (AWS)Spring FrameworkKubernetesApache KafkaC++

About

Backend Software Engineer specialising in the architecture, development, and maintenance of scalable and resilient systems. I have a strong background in leading backend initiatives within agile environments, from shaping product sprints and defining solution architecture to ensuring high-quality delivery. My core interests lie in distributed systems and system design. I'm passionate about architecting solutions that are both powerful and maintainable demonstrated through my work on Customer Feedback Management and end-to-end engineering of advanced Generative AI platforms like Insights Copilot

Experience

2 yrs 9 mos

Total Experience

2 yrs 4 mos

Average Tenure

5 mos

Current Experience

Uber

Software Engineer 2

Nov 2025 – Present · 5 mos · Bengaluru, Karnataka, India · On-site

Data workflow Management

Java ConcurrencyJava

Sprinklr

2 roles

Software Engineer

Promoted

Jun 2023 – Oct 2025 · 2 yrs 4 mos · Gurugram, Haryana, India · On-site

◦ Founding member in development of Sprinklr’s Customer Feedback Management product from inception to GA launch, built key components like governance architecture, validation layers, and scalable data pipelines leveraging Kafka, Redis, and Spark.
◦ Solely architected and scaled Insights Co-Pilot, a GenAI-driven conversational analytics platform, integrating semantic search using vector embeddings and Elasticsearch KNN to deliver source-cited insights.
◦ Designed a comprehensive adoption tracking system to monitor performance and cost KPIs, driving a 75% reduction in latency and a 65% decrease in operational costs.
◦ Engineered high-throughput ingestion pipelines for Sprinklr’s Social Listening platform, including a real-time streaming solution for Pepsi’s Super Bowl campaign, ensuring high availability and seamless dashboard integration.
◦ Senior On-Call Engineer, leading incident response for the Research Suite with 99.99% uptime and proactively reducing alert volume by over 80%.

KafkaRedisSparkElasticsearchMicroservicesSystems Design

Software Engineer

May 2022 – Jul 2022 · 2 mos · Gurugram, Haryana, India

◦ Worked on Elasticsearch, a distributed search and analytics engine built on Apache Lucene
◦ The objective was to make search possible on a field whose mapping has been disabled initially.
◦ Added supporting functionalities for viewing the mapping version of Index and document and provided real-time query support for mapping version in a Document’s information.

JavaSpring Boot