Applied AI Engineer · Bengaluru, India

🟢 Open to Freelance and Full-time positions

Portfolio · Resume · Book a call · LinkedIn

I build and evaluate real-world AI systems across computer vision, speech, multimodal retrieval, LLM systems, and infrastructure.

Good ML starts with understanding the data: what it represents, where it falls short, and what the problem actually needs. I prefer to start simple, test assumptions, measure what matters, and change course when the evidence calls for it.

I work across the full path from data preparation and experimentation to evaluation, deployment, and usable interfaces, with real constraints such as latency, compute, data quality, and measurable performance in mind.

Best fit: small or founding teams where I can own an ambiguous AI/product problem and help turn it into a working system. If you know a team working on video analytics, speech/DSP, multimodal or LLM/retrieval systems, AI evaluation, or an AI-heavy product, an introduction is welcome.

• Computer vision & video analytics — detection, segmentation, temporal processing, low-latency inference
• Multimodal & LLM systems — VLM pipelines, retrieval, structured extraction, embeddings and vector search
• Speech & DSP — ASR evaluation, audio processing, reconstructed-phase-space features
• Evaluation & reliability — benchmark design, reference-data validation, leakage detection, root-cause debugging
• Applied AI products — end-to-end systems, APIs, dashboards, deployment, and agent-assisted development

• AudioBench — speech-model evaluation workbench with dataset curation, local/cloud job orchestration, persistent results, and layered performance analysis
• AfterSight / Media Search Engine — multimodal media retrieval across semantic, OCR, contextual, metadata, and chronological signals
• Pixtyle — image/video stylisation using classical CV, DSP, NumPy/PyTorch backends, and GPU acceleration
• OS Toolkit — filesystem analysis, safe transfer tooling, concurrency, and repeatable performance benchmarking

M.Sc. Artificial Intelligence, Nanyang Technological University. Experience across applied AI and R&D at Amplify Dental, Hummingbird Bioscience, Tata Elxsi, and Samsung R&D.

• Portfolio: https://hiteshgoyal.me
• Schedule a call: https://calendly.com/hiteshgoyal/30min
• Email: hiteshgoyal.business@gmail.com
• LinkedIn: https://www.linkedin.com/in/hitesh-goyal-5732bb208/