Anushree Naik

Backend Engineer

San Francisco, California, United States6 yrs 11 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Expert in backend systems and data integration.
Proven track record in healthcare interoperability.
Strong execution ownership in complex problem spaces.

Stackforce AI infers this person is a Backend Engineer specializing in Healthcare data integration and automation.

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Skills

Core Skills

Backend SystemsData IntegrationsApi DevelopmentData Integration

Other Skills

Backend and data systemsAI toolingPythonC#.NET FrameworkData workflowsAPIsCI/CD pipelinesDocumentationUser Acceptance TestingCOBOLIBM Db2Distributed SystemsTechnical Program ExecutionCross-functional Collaborations

About

I’m a technical systems professional with 6+ years of experience building and operating backend and data integration platforms in high-scale, high-compliance environments. My work has focused on designing APIs, data workflows, and integration layers that support reliability, correctness, and multi-client scale. I’ve worked across the full delivery lifecycle, from requirement clarification and system design to production releases, incident triage, and operational support. What I bring: - Backend and data systems experience across APIs, pipelines, and interoperability platforms - Strong execution ownership in ambiguous problem spaces, including prioritization, delivery coordination, and release readiness - Hands-on collaboration with engineering, QA, analysts, and product stakeholders to turn unclear requirements into stable systems In parallel, I’ve been applying AI-assisted tooling to technical workflows, primarily for automation, validation, and productivity, with a focus on using AI as an augmentation to solid system design rather than a replacement for it. I’m open to backend engineering, technical program, technical product, and adjacent system-focused roles where deep technical context and execution ownership are equally valued.

Experience

Career break

Professional development

Mar 2025 – Present · 1 yr · San Jose, California, United States

Gained expertise in backend and AI tooling to transition into roles involving infrastructure, automation, and agent-based systems.
Mastering difficult Python problems to improve logical reasoning and system design fundamentals
Built AI agents using LLMs such as GPT, Claude, and LLaMA to simulate process automation tasks.
Gaining hands-on knowledge in prompt engineering, including prompt structuring, task breakdowns, and multi-step query design.
Exploring capabilities such as web scraping (BeautifulSoup, webscrape) and API integration (requests, httpx) to collect and feed data into agent workflows.
Strengthening understanding of Python’s ecosystem for task automation, backend scripting, and AI-assisted development.

Backend and data systemsAI toolingPythonBackend SystemsData Integrations

Ellkay

Software Engineer

Dec 2019 – Feb 2025 · 5 yrs 2 mos · New Jersey

Owned end-to-end delivery of large-scale healthcare interoperability systems spanning 30+ EMR adapter platforms, supporting data workflows for 100+ enterprise clients and processing over 1M sensitive records.
Acted as a technical execution owner across the full lifecycle: requirement clarification, task decomposition, prioritization, development, testing, release coordination, and post-production support.
Led triage and resolution of 1,000+ client-facing and production issues by coordinating across engineering, QA, analysts, and product stakeholders, reducing duplicate work and escalations by ~30% and accelerating delivery timelines.
Designed and operated backend APIs and integration workflows enabling secure, bi-directional data exchange between external healthcare systems and EMRs, with a strong focus on reliability, correctness, and data integrity.
Improved system stability and data quality through smarter extraction logic, record matching, validation strategies, and root-cause analysis, achieving ~99% data accuracy across time-sensitive pipelines.
Strengthened production readiness by implementing and maintaining CI/CD pipelines and structured release workflows, reducing deployment risk and improving operational reliability.
Contributed to compliance-focused validation and PHI-safe testing frameworks, helping reduce pre-production defects and increase confidence in regulated healthcare deployments.
Created and maintained internal documentation, runbooks, and workflows that improved onboarding, reduced support burden, and enabled faster issue resolution across teams.

C#.NET FrameworkData workflowsAPIsCI/CD pipelinesDocumentation+2

Portland state university

Data Entry Specialist

Sep 2018 – Sep 2019 · 1 yr · Portland, Oregon, United States · On-site

Micro systems engineering, inc.

Software Engineer Intern

Jun 2018 – Sep 2018 · 3 mos · Lake Oswego, Oregon

Designed and developed a scalable feature set in AutoVert to import all test data in a standard template, reducing import time by 50% and increasing processing efficiency by 35%.
Performed unit testing and UAT to verify functional integrity. Tool enhancement optimized the verification process by 80%, improved efficiency by 73%, and increased device verification throughput by 73%, allowing for 20 additional monthly hours to analyze and enhance overall performance.

C#User Acceptance Testing

Accenture

Associate Software Engineer

Nov 2016 – Jul 2017 · 8 mos · Pune/Pimpri-Chinchwad Area

Performed Incident Resolution Process (IR), resolving 20+ incidents monthly, and generated and debugged code on the mainframe backend server and engaged with Accenture’s global clients to comprehend Product Requirements (PR) and identified 10+ functional design flaws, reducing potential project delays by 20%.
Improved IR process accuracy by 50% through conducting comprehensive User Acceptance Testing (UAT), which reduced error rates by 40%.

COBOLIBM Db2