Parth Baghel

Software Engineer

New Delhi, Delhi, India2 yrs 3 mos experience

Key Highlights

Expert in backend development and AI/ML deployment.
Proven track record in building scalable SaaS products.
Strong foundations in machine learning and data structures.

Stackforce AI infers this person is a Backend-focused Software Engineer in the SaaS industry.

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Skills

Core Skills

Backend DevelopmentMachine LearningSoftware InfrastructureData Analysis

Other Skills

AWS CloudFrontAWS ECSAWS LambdaAWS SageMakerDockerElasticsearchFastAPIFfmpegFlaskGo (Programming Language)JavaScriptPythonReactReact.jsSoftware Design

About

I am a Software Engineer with experience in building scalable backend systems. At Eightfold.AI, I worked on performance driven frontend–backend integrations, SPA migrations, and caching strategies with Service Workers. At Gan.AI, I led the backend and AI engineering efforts for real time deep learning inference (TorchServe, AWS Sagemaker), video personalization SaaS products, and low latency content delivery optimizations. My expertise spans Python, C++, PyTorch, FastAPI, AWS, and distributed systems, with strong foundations in machine learning, data structures, and algorithms. I enjoy solving critical problems, whether it’s optimizing inference latency for AI models or designing scalable APIs and infra. Passionate about AI/ML deployment, backend scalability, and systems design.

Experience

Eightfold

Software Engineer

Nov 2024 – Oct 2025 · 11 mos · Noida, Uttar Pradesh, India · Hybrid

Gan.ai

Software Engineer

Jul 2023 – Nov 2024 · 1 yr 4 mos · Noida, Uttar Pradesh, India · On-site

Led backend development for API based platform. Supporting features like TTS, Voice-cloning, Avatars & Lip-sync
Architected and built a real-time DL inference service for text-to-speech utilising torchserve & AWS Sagemaker
Developed Payments service based on Freemium model. Integrated Stipe as payment portal for the PLG product
Served personalised videos through CDN (AWS CloudFront) to reduce video loading latency. Improved CDN cache
invalidation cost by restructuring video paths in S3. Further reduced latency in backend by creating never expire links
Productionized services on AWS lambda for video transcoding, subtitle overlays, BG music overlays, audio extractions
Oversaw complete backend development & launch of video personalization SaaS products Studio and Quick videos
Developed Analytics dashboard through Elasticsearch for visualising metrics like CTR, user location, session time etc
Optimised video upload architecture. Implemented a direct AWS S3 uploads to handle large/concurrent video uploads