Krishana Khatri — Software Engineer

Software Engineer | Building Scalable Systems & AI-Driven Solutions | Meta, Atlassian, Agoda & Skit.ai I am a Software Engineer with 5 years of experience specializing in backend infrastructure, high-throughput systems, and the intersection of Search and AI. My career has been defined by a transition from early-stage startups to global tech leaders, consistently delivering solutions that improve system reliability and user success at scale. Throughout my journey, I have navigated diverse domains—from conversational AI and fraud prevention to core search platforms—always prioritizing performance and organized, action-oriented execution. AI & Search Highlights: Meta: Engineered an end-to-end code search feature for internal platforms, utilizing a regex-based classifier to detect queries in under 10ns and surface relevant blocks across 1B+ lines of code. Skit.ai: As a Founding Engineer, I architected a high-throughput ASR/TTS orchestration engine in GoLang, dynamically routing requests across providers to slash voice bot failure rates by over 50%. Atlassian: Optimized global search infrastructure through a zero-downtime OpenSearch upgrade, reducing p99 query latency by 15% and streamlining indexing for Jira and Confluence. Agoda: Automated fraud investigation workflows by 85% and developed a GDPR-compliant rule engine for sensitive data masking. Core Expertise: Languages: Java, Python, GoLang, TypeScript, Scala, Hack/PHP. Infrastructure: AWS, GCP, Kubernetes, Docker, Kafka, PostgreSQL, Elasticsearch. AI/ML: Vertex AI, OpenAI API, LangChain, RAG, and Agentic Workflows. I am passionate about the evolving landscape of Generative AI and its application in building smarter, more efficient applications. When I’m not coding, I’m likely diving into cinematography, following Formula 1, or exploring self-improvement strategies

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and AI-driven solutions.

Location: Berlin, Germany

Experience: 5 yrs 8 mos

Skills

React
Typescript
Code Search
Data Pipeline
Java
Elasticsearch
Scala
Apis

Career Highlights

Engineered high-throughput AI-driven solutions.
Optimized global search infrastructure with zero downtime.
Led development of scalable APIs and systems.

Work Experience

Atlassian

Software Development Engineer II (9 mos)

Agoda

Software Engineer (1 yr 7 mos)

Skit (previously Vernacular.ai)

Software Engineer (1 yr 11 mos)

Platform Backend Intern (6 mos)

Coding Ninjas India

Teaching Assistant (4 mos)

Education

Bachelor's degree at CHANDIGARH UNIVERSITY

Krishana Khatri

Software Engineer

Berlin, Germany5 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered high-throughput AI-driven solutions.
Optimized global search infrastructure with zero downtime.
Led development of scalable APIs and systems.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and AI-driven solutions.

Contact

Skills

Core Skills

ReactTypescriptCode SearchData PipelineJavaElasticsearchScalaApis

Other Skills

HackPHPGoogle VertexGraphQLSQLRegexSpring BootPostgreSQLOpenSearchApache LuceneKinesisSNSSQSAWSSpinnaker

About

Experience

5 yrs 8 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 2 mos

Current Experience

Atlassian

Software Development Engineer II

Jul 2024 – Apr 2025 · 9 mos · Remote

Languages : Java, Spring Boot, PostgreSQL, Elasticsearch, OpenSearch, Apache Lucene, Kinesis, SNS, SQS, AWS, Spinnaker
Built a Java-based index integrity auditing service at Atlassian across Confluence, Jira, and Docs, detecting stale, missed, and permission-mismatched documents against Elasticsearch clusters — reducing high-severity incidents by 70%+.
Participated in a zero-downtime OpenSearch upgrade across all global regions, executing rolling migrations that delivered a 15% reduction in p99 query latency and a 25% decrease in indexing backpressure through optimized resource allocation.

JavaSpring BootPostgreSQLElasticsearchOpenSearchApache Lucene+5

Agoda

Software Engineer

Sep 2022 – Apr 2024 · 1 yr 7 mos · Bangkok City, Thailand · Hybrid

Led development of automated hotel response collection using Scala, hadoop, webhooks, and Alchemer, saving 2+ hours daily for 100+ agents. Enhanced chargeback defense document accuracy and efficiency by an average of 15%.
Built a React map component to visualize millions of user itineraries spanning flights, hotels, and activities, enabling agents to swiftly grasp entire bookings, saving 5+ minutes per booking.
Designed well-structured, scalable, secure and optimized APIs and UI components to ship more than 50+ product features. Resulting in 10 percent less losses in fraudulent booking, which is equivalent to 2M+ USD per quarter.
Led development of a flight bulk labeling UI in React and Tanstack Table, allowing agents to efficiently find and label similar flight bookings from a pool of 10M+. Improving the user experience and reducing fraud detection response rate to less than 5 seconds.
Implemented a masking service ensuring GDPR compliance by masking credit card information based on diverse rules set by each card country's government regulations. This enhanced security measure contributed to the application's adherence to privacy standards.
Followed agile principles, code reviews, load/stress testing, document writing, writing automated unit, integration tests for each task, resulting in better reliability, stability and code coverage of the product.

ScalaElasticsearchAPIs

Skit (previously vernacular.ai)

2 roles

Software Engineer

Nov 2020 – Oct 2022 · 1 yr 11 mos

Developed custom end-to-end voice bots solutions for 10+ clients, with over 1M+ customers served on an average.
Integrated platform with leading telephony providers such as Cisco, RingCentral, Twillio. Dropped the avergae time to integrate by 80 percent.
Debugged bugs in complex microservice architecture, resolved issues by leveraging tools like Grafana and Kubernetes logs. Established comprehensive monitoring, alerting, and fallback mechanisms
Developed conversation visualizer using Python, Js, React, and D3, translating complex conversation patterns into Sankey graphs. Improved Time to Resolution (TTR) by 30% by identifying and addressing bottlenecks for stakeholders.

LinuxDjango