Saksham Kathuria

Software Engineer

Bengaluru, Karnataka, India2 yrs experience

Most Likely To SwitchAI Enabled

Key Highlights

Expert in building scalable backend systems.
Proven track record in fintech product development.
Strong experience with microservices and event-driven architectures.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and Data Engineering.

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Skills

Core Skills

MicroservicesDistributed SystemsAwsFull Stack EngineeringData EngineeringBackend EngineeringFrontend Engineering

Other Skills

AWS LambdaAWS Step FunctionsAirflowAmazon Web Services (AWS)Apache AirflowAuth0Backend ArchitectureC++Customer Relationship Management (CRM)Data ObservabilityData StructuresDistributed TracingDjango REST FrameworkFirebaseGenerative AI

About

Saksham Kathuria is a tech enthusiast with a strong product-driven mindset, focused on building scalable, fault-tolerant backend platforms for fintech and high-growth product teams. He consistently drives multiple initiatives in parallel, owning architecture, implementation, and cross-functional delivery end-to-end. Core Focus Areas: ◦ Designing distributed backend systems, microservices, and event-driven architectures. ◦ Building reliable, config-driven platforms with an emphasis on performance, resilience, and clean abstractions. ◦ Working across backend engineering, infrastructure, observability, data pipelines, and API integrations.

Experience

2 yrs

Total Experience

2 yrs

Average Tenure

2 yrs

Current Experience

Dezerv

2 roles

Software Engineer II

May 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

◦ Built a custom CRM that became the central system for client requests across Sales, Ops, and Compliance, delivering $150K/year in cost savings, 63% improvement in turnaround time, and fully audit-ready reporting.
◦ Designed and integrated a reusable, modular ticketing engine featuring chat collaboration, audit-grade logs, and configurable workflows - allowing teams to create team-specific request flows without rebuilding core components.
◦ Implemented LLM-powered chat parsing to automatically infer ticket state and generate follow-ups, eliminating repetitive manual work for Ops teams.
◦ Developed a reusable OpenTelemetry tracing utility leveraging middleware, builder, and decorator patterns to deliver consistent, low-overhead instrumentation across routes, cron jobs, and database operations—significantly improving bottleneck detection.

MicroservicesGo (Programming Language)OpenTelemetryDistributed Systems

Full Stack Engineer

May 2024 – Apr 2025 · 11 mos · Bengaluru, Karnataka, India · On-site

◦ Implemented a scalable, event-driven onboarding workflow (AWS Step Functions + Lambda) enabling a seamless self-serve onboarding journey; with zero Ops intervention, contributing to $300Mn+ in AUM.
◦ Developed a config-driven SDUI system that allowed dynamic UI/form updates without app deployments, drastically accelerating app rollout cycles.
◦ Defined a concrete, platform-wide user model and built a centralised identity system to replace inconsistent identifiers and ensure compliant, business-wise separation of user records.
◦ Led the critical engineering effort, including load-testing with 10M+ records, sustaining ~100ms latency, and executing a zero-downtime migration of user records from legacy services.◦

AWS Step FunctionsAWS LambdaSDUIUser ModelLoad TestingAWS+1

Toplyne

SWE Intern

Dec 2023 – May 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

◦ Led the end-to-end development of the organization-wide Data Observability Framework, from Infrastructure-as-Code provisioning to cross-team adoption and integration.
◦ Built a configuration-driven data quality layer on Snowflake, enabling customizable validation rules and implementing OpenTelemetry + Grafana for unified metrics, monitoring, and automated alerting.
◦ Integrated the observability framework into Airflow DAGs to automate data monitoring throughout ETL workflows, while concurrently developing Data Lineage capabilities to trace data movement across the pipeline.

Data ObservabilitySnowflakeOpenTelemetryGrafanaAirflowData Engineering

Manifest

Founding Member

May 2023 – Apr 2024 · 11 mos · Dubai, United Arab Emirates · Remote

◦ Owned the full backend architecture of Manifest AI from scratch, including system design and schema modeling.
◦ Built core functionality such as Auth0-based authentication/authorization, user/project management, workspace management, and the chat messaging + conversation history system.
◦ Gained hands-on experience working with LLMs, Stable Diffusion, Vector Databases, and Generative AI pipelines.

Backend ArchitectureAuth0Generative AIStable DiffusionBackend Engineering

Whatcode

2 roles

MERN Developer Intern

Aug 2022 – Sep 2022 · 1 mo · Remote

Contributed to the Financial Wire Project, a fintech platform for managing investment assets.
◦ Developed data-heavy dashboards with React and Redux for efficient state management.
◦ Integrated TradingView API and React Chart.js to visualize investment data across multiple chart types.
◦ Implemented user-specific data segregation to maintain profiling and asset separation.
◦ Designed and consumed REST APIs for CRUD operations and real-time data from eight third-party financial services.

ReactReduxTradingView APIREST APIsFrontend Engineering

React Developer Intern

May 2022 – Jul 2022 · 2 mos · Remote

I contributed to the development of the Hetali Group website (https://www.hetaligroup.com), building both the client-facing and admin interfaces using React with Firebase Firestore for data management. The admin panel allowed the team to manage images, text, and other dynamic content efficiently.

ReactFirebaseFrontend Engineering