Rajat Awasthi — CTO
I lead the development of mission-critical AI systems blending Research, Engineering & Strategy to deliver reliable, explainable and economically sound AI products globally. My focus is on AI that performs in production, not just on leaderboard. Over the last decade I’ve designed and built industry-first systems across Multilingual NLP, Generative AI, LLMs, and AI Agents, translating state-of-the-art research into cost-efficient, compliant applications deployed worldwide. Key achievements: • Trained, scaled, and managed 700+ ML models across 100+ languages, processing ~1.5B data points/day for 30+ industries, with a focus on robustness, safety, and unit economics in messy multilingual settings. • Built domain-specific LLMs that surpassed frontier models in accuracy while cutting significant cost. • Shipped AI Agents and GenAI use cases; built advanced RAG, ranking, and reasoning systems to answer long-tail, high-stakes queries with precision. • Automated the ML lifecycle (data curation → training → deployment → monitoring) and replaced manual QA with metric-driven generative evaluation so quality scales with shipping. • Generalised downstream tasks to replace hundreds of custom models with a single SLM, boosting accuracy and reducing maintenance efforts. • Applied pruning, quantisation, distillation, efficient decoding, and KV caching to deliver major cost reductions with no user-visible quality loss. • Built custom multilingual NLP models with SOTA techniques, OCR on noisy images, anomaly-detection pipelines, and designed/hardened hundreds of micro-services. • Led high-performing teams of AI engineers, researchers, and data scientists & fostered ownership, innovation, and continuous learning. I turn cutting-edge AI into production systems that are consistently better, safer, faster, and cheaper. If that’s your standard, we’ll get along.
Stackforce AI infers this person is a leader in AI systems development with a focus on multilingual NLP and generative AI.
Location: Gurugram, Haryana, India
Experience: 8 yrs 6 mos
Career Highlights
- Managed 700+ ML models across 100+ languages.
- Built domain-specific LLMs surpassing frontier models.
- Automated the ML lifecycle for scalable quality.
Work Experience
Sirion
Engineering Leader, ML & Data Science (1 yr)
Sprinklr
Associate Director, Data Science (3 yrs 4 mos)
Data Scientist (2 yrs 11 mos)
Software Engineer, Machine Learning (1 yr 3 mos)
Education
Bachelor of Technology (B.Tech.) at National Institute of Technology Agartala