Saksham Kathuria

Software Engineer

Bengaluru, Karnataka, India1 yr 9 mos experience

Most Likely To SwitchAI ML Practitioner

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

Dezerv

2 roles

Software Engineer II

May 2025 – Present · 10 mos · 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