Vikas Mishra

Forward Deployed & Full-Stack Engineer

Vikas Mishra

Software engineer building reliable products, integrations, and data-intensive systems.

Full-stack product engineering, production integrations, and customer-facing technical delivery.

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Selected work

Impact from production systems

Concise case studies from integrations, analytics platforms, data performance, and enterprise backends.

Stacksync — Integration and Agentic Workflows

Context
At Stacksync, a Y Combinator–backed startup (2024), customers needed reliable sync between ERP, CRM, and warehouse systems, plus natural-language workflows across many connectors.
What I owned
Customer integrations from discovery through production, including connector pipelines and agentic workflow features.
Key technical decision
Combined initial backfills with webhook- and polling-based updates, plus retry logic, exponential backoff, pagination, batching, and error recovery for near-real-time consistency.
Measurable result
Delivered production integrations across Acumatica ERP, monday CRM, and Extensiv, and natural-language workflows spanning more than 30 connectors.
  • Connector pipelines
  • Webhooks
  • Polling
  • Retry / backoff
  • Agentic workflows

Office of Water Programs — Stormwater Analytics Platform

Context
A public-sector analytics product needed faster load times, clearer environmental-data visualization, and a maintainable delivery pipeline.
What I owned
Frontend architecture and platform performance work across React, TypeScript, FastAPI, and Pandas.
Key technical decision
Migrated to Vite, introduced route-level code splitting and lazy loading, and built a reusable TanStack Query data layer behind Docker and Nginx.
Measurable result
Reduced the initial bundle by approximately 50–60%, with Playwright coverage and Bitbucket Pipelines supporting reliable releases.
  • React
  • TypeScript
  • FastAPI
  • Pandas
  • Vite
  • TanStack Query
  • Docker
  • Nginx
  • Playwright
  • Bitbucket Pipelines

Data and SQL Performance

Context
Operational teams were blocked by slow ingestion and long-running SQL reports on large datasets.
What I owned
Performance work on ingestion workflows and SQL reporting against datasets with more than 100,000 records.
Key technical decision
Focused on query and pipeline efficiency rather than adding more manual steps or heavier tooling.
Measurable result
Cut a manual 30-minute ingestion process to under 40 seconds, and reduced SQL-report execution from about 80 minutes to under 5 seconds.
  • SQL
  • ETL
  • Data pipelines
  • Performance tuning

Tata Consultancy Services — Enterprise Backend Systems

Context
Enterprise systems needed dependable ingestion and APIs for high-volume SAP traffic.
What I owned
Java and Spring Boot services for event-driven ingestion, API performance, and a self-healing rules engine.
Key technical decision
Used RabbitMQ for event-driven ingestion and Spring Cloud Gateway with Eureka for service routing and discovery.
Measurable result
Supported more than 10,000 SAP IDocs per day, with API and database performance improvements of approximately 60–75%.
  • Java
  • Spring Boot
  • RabbitMQ
  • SAP IDocs
  • Spring Cloud Gateway
  • Eureka

Experience

Recent roles

Customer-facing delivery, full-stack product work, and enterprise backend systems.

Stacksync · Y Combinator, 2024

Full-Stack Engineer

  • Own customer integrations from technical discovery through production deployment, translating ERP, CRM, and warehouse requirements into scalable synchronization workflows.
  • Engineer connector pipelines with large-scale backfills, webhooks, polling, pagination, batching, retries, and error recovery to maintain reliable near-real-time consistency across business systems.
  • Expand agentic workflows across 30+ connectors, enabling natural-language requests to execute multi-step operations against platforms including PostgreSQL, Salesforce, and NetSuite.

Office of Water Programs

Full-Stack Developer

  • Led development of a stormwater analytics platform using React, TypeScript, FastAPI, and Pandas, turning complex environmental datasets into interactive visualizations for research engineers.
  • Reduced the initial frontend bundle by approximately 50–60% by migrating to Vite, implementing route-level code splitting, and introducing lazy loading.
  • Automated data ingestion and SQL report generation, reducing a 30-minute manual workflow to under 40 seconds and cutting query execution from 80 minutes to under 5 seconds on datasets exceeding 100,000 records.

Tata Consultancy Services

Backend Developer

  • Designed Java and Spring Boot services with RabbitMQ to process more than 10,000 SAP IDocs daily, supporting reliable enterprise-scale data ingestion.
  • Built a configurable self-healing rules engine that detected recurring failures and automatically triggered recovery scripts, eliminating manual intervention for known error patterns.
  • Improved API and database performance by approximately 60–75% by resolving Hibernate N+1 queries, introducing JPA batch processing, and optimizing database indexes.

Capabilities

Tools I use in production

Grouped by the work they support — product, integrations, data, and delivery.

Product and frontend

  • React
  • TypeScript
  • Next.js
  • TanStack Query
  • Tailwind CSS

Backend and integrations

  • Java
  • Spring Boot
  • Python
  • FastAPI
  • REST APIs
  • RabbitMQ

Data

  • PostgreSQL
  • MySQL
  • MongoDB
  • Pandas
  • ETL and synchronization workflows

Infrastructure and quality

  • Docker
  • Nginx
  • CI/CD
  • Bitbucket Pipelines
  • Jenkins
  • Playwright

About

Background

Based in San Francisco, California. Master of Computer Science from California State University, Sacramento.

Experience across enterprise backend systems, public-sector analytics, integrations, and AI-enabled workflows.

Contact

Let’s build something useful.

For product engineering, integrations, or technical collaboration, send a message or schedule a short call.

Emailvikas.mishra0796@gmail.comSchedule a 15-minute callcal.com/vikas-mshra/15minLinkedInlinkedin.com/in/vikas-mshraDownload résumé (PDF)PDF download

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