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Varun Sharma - Software Developer in Remote, USA

Varun Sharma

Mid-level AI Builder and Data Engineer specializing in GenAI and data pipelines

Modern StreamingDrexel UniversityRemote, USA4 Years ExperienceMid LevelWorks On-Site

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About

Full-stack AI product engineer who personally built ViGenAir, a multimodal system that turns long-form video into ads using FastAPI, React, and agentic scoring. Stands out for handling complex 50GB+ media pipelines, re-architecting systems to eliminate OOM failures, and making opaque AI workflows usable through interactive visual UX that improved trust, speed, and retention.

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Key Strengths

  • end-to-end full-stack product ownership
  • built multimodal AI video-to-ad pipeline
  • deep expertise in large-media processing at 50GB+ scale
  • solved OOM and timeout failures with chunked RAM-safe architecture
  • strong backend architecture for asynchronous AI workflows
  • pragmatic frontend/backend tradeoff decisions
  • improved UI transparency for AI systems with interactive visual tooling
  • reduced manual editing by 40%
  • cut task completion time by 30% through UX optimization and A/B testing
  • reduced frontend/backend integration friction by 30% with contract-first development
  • fast production incident response with 2-hour uptime recovery
  • high-agency execution with CTO-level partnership and MVP scoping

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Experience

Software DeveloperModern Streaming · Dec 2025 – Present
Software DeveloperTriveni IT · Aug 2025 – Present
Data AnalystDrexel University · Oct 2024 – Aug 2025
AI & ML Engineer InternSmart Rewards Inc. · Jan 2025 – Presentinternship
Junior Software Engineer (Java & Microservices)Cognizant · Jul 2020 – Jul 2022

Education

Drexel Universitymaster, Data Science
SRM Universitybachelor, Computer Science & Engineering

Languages

English

Certifications

Advanced Data Engineering (Snowflake)Meta Marketing ScienceIBM Data ScienceMS Azure Data Engineering

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Connect with Varun

Varun already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.

Typically responds within 24 hours

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Varun SharmaMid-level AI Builder and Data Engineer specializing in GenAI and data pipelines