Sagar Gupta | AI/ML & iOS Engineer

Tech Stack

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My professional journey.

Veterinary Information Network

Jun 2025 - Oct 2025

Deployed enterprise-grade ML pipelines classifying 1,000+ veterinary documents into 7+ categories using fine-tuned models with evaluation and QA.
Built conversational AI agents with safety guardrails using Langflow and RAG, automating developer workflows and reducing manual review time by ~30%.
Operationalized models on Databricks with monitoring and alerting, enabling scalable, reproducible workflows for stakeholders across multiple teams.
Developed PySpark-based data ingestion pipelines to process large-scale datasets and implemented semantic search with embeddings to automate knowledge extraction.

Python

Databricks

Microsoft Azure

PyTorch

LangChain

Langflow

Nykaa

May 2022 - Jul 2024

Led development of 15+ iOS features in Swift/SwiftUI, partnering with product and design while monitoring quality via Crashlytics and Firebase.
Architected CI/CD with Fastlane on Mac mini, reducing release time by ~40% and enabling 2x faster deployments.
Optimized performance-critical flows, reducing binary size by ~15 MB and startup time by ~1s for an app serving 35M+ active users.
Implemented 400+ unit and BDD tests using XCTest and Quick/Nimble, increasing coverage to ~75% and cutting crashes by ~30%.
Designed 5+ reusable UI component architectures using async/await and Swift actors, reducing development time by ~30%.

Swift

Firebase

Google Analytics

Mixpanel

Fastlane

Emerge Tools

SourceTree

Appscrip

Feb 2020 - Apr 2022

Built and maintained iOS features including real-time messaging with MQTT handling 10+ concurrent connections with sub-100ms latency.
Integrated Zoom SDK for 1:1 video calls with real-time media processing, enabling 5,000+ monthly sessions with ~99% call success rate.
Implemented Apple Push Notifications (APNs) across multiple apps, delivering 10k+ notifications monthly with ~99.9% delivery.
Integrated payment gateways (Stripe, Razorpay, PayPal), processing $10K+ monthly volume with ~99.9% success rate.
Automated builds via Fastlane and Bitrise, reducing QA time by ~50% and mentoring 2 developers through 50+ code reviews.

Swift

MQTT