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Hello! I’m Surya Kant Swain, a full-stack machine learning engineer with 10+ years delivering AI-powered workflow platforms that combine intuitive frontends, robust backends, scalable data infrastructure, and computer-vision pipelines in production. I specialize in FastAPI, React, Postgres, and production-grade deep-learning CV models, turning raw ML outputs into reliable, user-facing products. I thrive in collaborative, remote engineering environments and partner closely with ML, backend, and product teams to iteratively refine UX, improve data and model quality, and ship features that translate AI insights into real business value. I bring a product-focused mindset and disciplined engineering practices to bridge ML research and software engineering, delivering polished, maintainable systems.…Hello! I’m Surya Kant Swain, a full-stack machine learning engineer with 10+ years delivering AI-powered workflow platforms that combine intuitive frontends, robust backends, scalable data infrastructure, and computer-vision pipelines in production. I specialize in FastAPI, React, Postgres, and production-grade deep-learning CV models, turning raw ML outputs into reliable, user-facing products. I thrive in collaborative, remote engineering environments and partner closely with ML, backend, and product teams to iteratively refine UX, improve data and model quality, and ship features that translate AI insights into real business value. I bring a product-focused mindset and disciplined engineering practices to bridge ML research and software engineering, delivering polished, maintainable systems.

Surya Kant Swain

Full Stack Developer, AI Engineer, Data Scientist, +2

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Hello! I’m Surya Kant Swain, a full-stack machine learning engineer with 10+ years delivering AI-powered workflow platforms that combine intuitive frontends, robust backends, scalable data infrastructure, and computer-vision pipelines in production. I specialize in FastAPI, React, Postgres, and production-grade deep-learning CV models, turning raw ML outputs into reliable, user-facing products. I thrive in collaborative, remote engineering environments and partner closely with ML, backend, and product teams to iteratively refine UX, improve data and model quality, and ship features that translate AI insights into real business value. I bring a product-focused mindset and disciplined engineering practices to bridge ML research and software engineering, delivering polished, maintainable systems.…Hello! I’m Surya Kant Swain, a full-stack machine learning engineer with 10+ years delivering AI-powered workflow platforms that combine intuitive frontends, robust backends, scalable data infrastructure, and computer-vision pipelines in production. I specialize in FastAPI, React, Postgres, and production-grade deep-learning CV models, turning raw ML outputs into reliable, user-facing products. I thrive in collaborative, remote engineering environments and partner closely with ML, backend, and product teams to iteratively refine UX, improve data and model quality, and ship features that translate AI insights into real business value. I bring a product-focused mindset and disciplined engineering practices to bridge ML research and software engineering, delivering polished, maintainable systems.

Available to hire

Hello! I’m Surya Kant Swain, a full-stack machine learning engineer with 10+ years delivering AI-powered workflow platforms that combine intuitive frontends, robust backends, scalable data infrastructure, and computer-vision pipelines in production. I specialize in FastAPI, React, Postgres, and production-grade deep-learning CV models, turning raw ML outputs into reliable, user-facing products.

I thrive in collaborative, remote engineering environments and partner closely with ML, backend, and product teams to iteratively refine UX, improve data and model quality, and ship features that translate AI insights into real business value. I bring a product-focused mindset and disciplined engineering practices to bridge ML research and software engineering, delivering polished, maintainable systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI / Full-Stack Machine Learning Engineer at Wells Fargo

April 1, 2025 - Present

Designed and deployed backend systems using FastAPI to orchestrate ML-driven automation workflows across data ingestion, inference, reporting, and delivery. Built modular API endpoints for ML results, analytics metadata, and document-generation capabilities; implemented async execution, batching, and background pipelines to support high-volume workloads. Transformed multimodal ML outputs into client-ready reports and developed validation and templating logic to meet formatting, compliance, and traceability requirements. Created React interfaces for analysts to validate AI-generated reports, annotations, and anomalies; integrated feedback loops to feed continuous-improvement pipelines for ML models and rules engines. Implemented Postgres storage with structured schemas and ensured full traceability through lineage metadata. Added reliability safeguards and instrumented monitoring for latency, task completion, user validation, and document-generation accuracy.

Senior ML / Software Engineer (Contract) — Vision & Workflow Automation at Dell Technologies

October 1, 2024 - March 1, 2025

Built computer-vision pipelines to detect visual changes with structured, explainable outputs. Designed feature-extraction and similarity-scoring workflows to quantify differences in visual quality and task compliance. Generated structured CV reports with overlays and pixel diffs; aggregated data from multiple systems to produce end-to-end automated documentation packages. Integrated rule-based and ML-based validation logic and exposed analytics via FastAPI microservices. Designed Postgres-backed workflows with full lineage and reproducibility for inference outputs and audit metadata; implemented data-integrity safeguards and telemetry; optimized performance with async processing and batching.

Full-Stack / ML Platform Engineer at Nike

January 1, 2022 - November 1, 2024

Developed internal web tooling to visualize model outputs, feature signals, and data-quality metrics. Built dashboards for side-by-side model comparisons, drift trends, and confidence distributions; designed UI components for tracing features to source data and documenting anomalies. Automated generation of human-readable documentation from AI outputs and enabled human-in-the-loop workflows to feed model refinements. Implemented FastAPI backends for secure, versioned delivery of model results and document-generation capabilities; optimized Postgres schemas for high-volume analytics; established reliability patterns and monitoring for dashboard usage, API latency, and data freshness. Collaborated with compliance, risk, and business teams to ensure auditability.

Machine Learning Engineer — Data-Driven Model Deployment at Wells Fargo

October 1, 2020 - December 1, 2021

Built document-automation systems powered by ML analytics to generate compliance-grade reports. Designed FastAPI-based backends exposing document-generation and analytics insights; implemented automated information extraction and document assembly using classification, OCR/NLP pipelines, and structured rule engines. Ensured reproducibility through schema-based formatting and deterministic templates; added provenance metadata for audit readiness; integrated human-in-the-loop review flows to capture corrections and improve model-driven document quality. Established CI checks to enforce data-integrity thresholds and collaborated with compliance teams to encode domain-specific rules.

Software / ML Engineer at McAfee

May 1, 2018 - September 1, 2020

Built image- and video-based visualization tooling to compare before/after model outputs, enabling rapid inspection of feature and pattern changes. Created interactive overlays, extracted keyframes and pixel-level diffs, and designed annotation utilities for cross-team sharing. Integrated visualization with experiment-tracking systems to correlate qualitative insights with model checkpoints; supported cross-release comparison across versions and architectures; contributed to end-to-end testing and debugging across inference, data, and evaluation services.

Data Engineer — ETL, SQL, and Business Reporting at SanDisk

May 1, 2016 - April 1, 2018

Created reliable ETL pipelines to ingest and consolidate data for analytics and reporting; designed SQL data models and marts to support BI, product analytics, and operational reporting. Built reusable data-transformation logic, implemented data-validation checks, and documented data lineage with metric definitions. Collaborated with analytics and product stakeholders to prioritize data needs and ensure high-confidence KPI reporting.

Software Developer | Data Pipeline & Integration Systems at LG Electronics – Bengaluru, India

April 1, 2011 - May 1, 2016

Developed Django-based data APIs for connected IoT devices, supporting ingestion of heterogeneous telemetry. Built Python batch pipelines to aggregate and normalize data for cloud analytics and ML. Implemented real-time synchronization and data-offload logic across distributed IoT deployments, and designed scalable data-exchange protocols with schema validation and retry/queuing mechanisms.