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Aditya Handrale

Available to hire

I am an Applied AI Engineer and Technical Founder with a track record of architecting and scaling production-grade Generative AI systems from MVP to C30k+ revenue.

About

I am an Applied AI Engineer and Technical Founder with a track record of architecting and scaling production-grade Generative AI systems from MVP to C30k+ revenue. I specialize in building pragmatic AI products that balance research-grade techniques with production-ready delivery.

I specialize in multimodal AI systems (image, video, and language), with deep experience in LLM orchestration, retrieval-augmented generation, and low-latency GPU inference pipelines. I bridge research-grade ML and commercial products through robust MLOps, cost-efficient scaling, and full-stack engineering.

  • 3 years' experience
  • Joined March 2026

Languages

  • EnglishFluent
  • GermanAdvanced

Industry experience

  • Software & Internet
  • Media & Entertainment
  • Manufacturing
  • Professional Services
  • Education

Work experience· 5 roles

Founding Engineer (Contract) · DeepFilmAug 2025 – Dec 2025 · 5 mos

Short-term founding engineering contract to build an AI-powered image-to-video product for real-estate marketing. Architected an LLM-driven “AI Director” to generate storyboards, prompts, pacing, text overlays, and music selection, translating listing data into controllable video generation plans. Designed a storyboard-first UX to configure shots and trigger batch image-to-video generation with a predictable output structure. Benchmarked multiple image-to-video models across temporal consistency, motion coherence, and cost; selected production defaults based on quality–latency tradeoffs. Built async generation pipelines using Django APIs and Next.js frontend to support concurrent jobs and failure recovery. Implemented AI-assisted image cleanup to improve downstream video quality for demo assets used in investor discussions.

Technical Co-Founder & AI Architect · Parallel PicturesFeb 2024 – Jul 2025 · 1 yr 6 mos

Sole technical founder who architected and deployed the AI and product stack for a generative fashion SaaS platform (Virtual Try-On, AI imagery), serving brands like Vogue and MCM and generating C30,000+ in early revenue. Architected end-to-end pipelines for AI fashion imagery and virtual try-on, covering data ingestion, inference orchestration, and user-facing workflows. Designed a domain-specific creative assistant ("Luca") using VLM/LLM components to generate campaign plans, text-to-image prompts, and SEO-optimised PDP copy. Built DreamBooth/LoRA training workflows to create photorealistic digital twins, balancing quality, inference cost, and deployment complexity. Deployed GPU-backed inference pipelines on Modal and RunPod with a FastAPI backend, Supabase-based auth/storage, and CI/CD pipelines to support iterative releases and client delivery.

AI Researcher (Masterthesis) · BoschApr 2023 – Oct 2023 · 7 mos

Developed a visual analytics platform to evaluate high-dimensional feature spaces from industrial QA image datasets, supporting model inspection and failure analysis. Implemented and benchmarked clustering metrics and dimensionality reduction techniques (PCA, t-SNE) to detect outliers, mislabels, and robustness issues in defect detection classifiers.

AI Developer Intern · 4process GmbHAug 2022 – Sep 2022 · 2 mos
ML/AI Developer · CareerTrailsSep 2019 – Apr 2021 · 1 yr 8 mos

Education

MSc in AI Engineering · Universität Passau2030 – 2026
B.E. in Computer Engineering · MIT College of Engineering, Pune2030 – 2019

Certifications and awards

Winner, INN.KUBATOR Passau Hackathon (Internship Awarded)2030 – 2026
1st Place, 38th Cloudflight AI Hackathon 20232023 – 2026
21st Rank Globally, 35th Cloudflight AI Coding Contest 20212021 – 2026

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