Chirag Sindhu
@chiragsindhu
AI & DevOps engineer specializing in scalable generative AI systems.
What I'm looking for
I am an AI and DevOps engineer with 5+ years deploying production generative AI systems, specializing in LLMs, RAG pipelines, LoRA/QLoRA, prompt engineering, and real-time conversational platforms. I have architected cloud-native AI solutions across AWS, GCP, Azure, and self-hosted environments, optimized models with quantization and distributed training, and delivered high-availability platforms with sub-100ms latency.
My hands-on work spans multimodal pipelines, real-time vision and speech systems, AR/VR and Metaverse applications, and scalable MLOps infrastructures using Kubernetes, Docker, Redis, PostgreSQL, and CI/CD. I drive performance gains via DeepSpeed/FSDP, INT8/INT4 quantization, and production integrations of Whisper, Gemini, and other LLM/ASR/TTS technologies to meet demanding SLAs and large request volumes.
Experience
Work history, roles, and key accomplishments
AI Engineer
Pioneverse
Oct 2023 - Present (2 years 8 months)
Architected low-latency multimodal AI pipelines and event-driven backends, enabling real-time conversational AI handling 50K+ requests and sub-100ms latency for streaming avatars and telephony integrations.
Research & Development Engineer
MuseTalk
Apr 2022 - Oct 2023 (1 year 6 months)
Engineered real-time vision and conversational AI pipelines using OpenCV, PyTorch, TensorRT and deployed multilingual, low-latency systems on Kubernetes achieving 99.9% uptime and zero-downtime deployments.
Research Engineer
Cognitive Systems Lab
Jul 2021 - Dec 2021 (5 months)
Designed cloud BIM/CAD visualization and built multilingual speech AI (Whisper, Wav2Vec2, HiFi-GAN) with <8% WER and 4.2+ MOS, and implemented distributed training to cut training time by ~70%.
Education
Degrees, certifications, and relevant coursework
University of Columbia, New York City
Bachelor of Technology, Computer Science & Technology
Bachelor of Technology in Computer Science & Technology with a specialization in Cloud, DevOps and Automation, completed in 2025.
Oracle
Professional Certification, Generative AI
Completed the Generative AI Professional certification in 2025.
Manav Rachna University
Activities and societies: 1st place, e-Yantra Robotics Competition
Participated in e-Yantra Robotics Competition and achieved 1st place in 2024.
Indian Institute of Technology, Bombay
Completed a program or course at IIT Bombay in 2023 (details not specified).
Availability
Location
Authorized to work in
Job categories
Skills
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