Adarsh Mishra

Software Engineer

Bengaluru, Karnataka, India6 yrs 4 mos experience

AI ML PractitionerAI Enabled

Key Highlights

5+ years of experience in AI-powered systems.
Expert in scalable backend platforms and cloud-native technologies.
Proven track record in automating workflows with AI.

Stackforce AI infers this person is a SaaS-focused backend engineer with expertise in AI and data engineering.

Contact

Skills

Core Skills

AiBackend DevelopmentData EngineeringCloud InfrastructureSoftware Development

Other Skills

AI agent systemsworkflow designAPI integrationdata ingestion engineDebeziumKubernetesSparkKafka migrationDjangoRESTful APIsC++Xcodecompression techniquesJavaPython

About

Software Engineer with 5+ years of experience building AI-powered systems and scalable backend platforms. Currently focused on AI agent orchestration, including designing workflows and extending agent capabilities. Experienced in building production systems that integrate AI with backend services to automate and improve real-world workflows.Strong foundation in distributed systems using and cloud-native technologies.

Experience

6 yrs 4 mos

Total Experience

2 yrs 8 mos

Average Tenure

11 mos

Current Experience

Atlassian

Software Engineer

Jun 2025 – Present · 11 mos · Bengaluru, Karnataka, India

Working on AI agent systems for customer support automation, with a focus on improving support ticket deflection for Help AI agents.
Built agent-driven workflows for action confirmation and input collection, enabling safe and reliable execution of actions across backend systems.
Developed AI agents with API-integrated tools, allowing the system to perform end-to-end workflows and improve execution accuracy in real scenarios.
Currently building an Anthropic-inspired skills framework, enabling modular capabilities and making it easier to extend agent functionality over time.
Designed an LLM-based pipeline to analyze support tickets and generate workflows/tools, using structured labeling and controlled taxonomy to scale clustering and identify automation opportunities.

AI agent systemsworkflow designAPI integrationAIBackend Development

Intuit

4 roles

Senior Software Engineer

Promoted

Jul 2024 – Jun 2025 · 11 mos

Engineered a scalable data ingestion engine using Debezium to stream and transform data from RDBMS and NoSQL to Kafka topics, processed by Spark jobs into the data lake. Scaled to 400 pipelines, processing up to 45TB of data daily.
Led the development of a parallel real-time data ingestion solution for near real-time jobs. Drove the transition from legacy EC2 infra to the Kubernetes ecosystem. This eliminated monthly restacking and improved release efficiency.
Amplified ingestion throughput from 26GB/hr to 56GB/hr by implementing parallel event transformation with multithreading. This mitigated lag, prevented SLA violations, improving pipeline TPS by 115%.
Leveraged in-memory cache for storing schema metadata, reducing latency spikes by 70%. Eliminated redundant network calls, resulting in consistent and efficient data processing.

data ingestion engineDebeziumKubernetesSparkData EngineeringCloud Infrastructure

Software Engineer 2

Promoted

Oct 2021 – Jun 2024 · 2 yrs 8 mos

Spearheaded migration of 50,000 Kafka partitions to a dedicated AWS MSK cluster, reducing cluster load by 48%. Collaborated with data stakeholders to automate data validation, traffic switching, completing migration with no data loss or SLA breaches.
Built a Django sidecar microservice with RESTful APIs for managing Kafka-Connect lifecycle management. Integrated with the developer dashboard and self-healing services, enhancing productivity and automating error recovery.
Increased observability with real-time metrics in Wavefront and error alerts in Splunk. Reduced Mean Time to Detect (MTTD) by 40%, enabled self-healing, and expedited issue resolution.

Kafka migrationDjangoRESTful APIsCloud InfrastructureBackend Development

Software Engineer 1

Aug 2020 – Sep 2021 · 1 yr 1 mo

Developed cross-platform C++ utility libraries for TurboTax Desktop to enhance user experience and code reusability.
Reduced latency of EFiling flow by 45% through optimizing payload creation flow and leveraging compression techniques.
Implemented efficient coding practices to reduce maintenance overhead on Mac and Windows systems at Intuit in Bengaluru, India.

C++Xcodecompression techniquesSoftware Development

Software Engineer Intern

Jan 2020 – Jul 2020 · 6 mos

Engineered low-latency RESTful microservices with Java Spring Boot for the Financial Data Platform, serving 500k+ TurboTax and Mint customers by connecting to financial institutions. Created internal dashboards with React-Redux and automated UI onboarding flows with Cypress for testing.

Center for cloud computing and big data, pes university

Research Intern

May 2018 – Aug 2018 · 3 mos · Bangalore

Modeled replication time in Apache Cassandra database in a distributed cloud setup.
Optimized system parameters and developed a real-time monitoring tool for tuning thread-pool values.
Published findings in springer after documenting the research.

Visio.ai

Intern

Feb 2018 – Apr 2018 · 2 mos · Bangalore

Developed end to end pipeline for Motorcycle helmet detection and human pose estimation system using native computer vision algorithms and deep learning approaches.