Anant Tyagi
AI/ML Developer | 4+ Years in Scalable Machine Learning & Deep Learning | Specializing in LLMs, Recommendation Systems & MLOps | Python, PyTorch, AWS SageMaker | MSc Information Technology
- Role
- Ai Ml Developer at Chirpn It Solutions
- Location
- Dallas, TX, US
- LinkedIn followers
- 500 followers
About Anant Tyagi
I am an AI/ML Engineer with over 4 years of experience designing, developing, and…
Experience
Ai Ml Developer
Jan 2025 — Present · Fremont, CA, US
Developed hybrid recommendation engine with ALS and BERT embeddings, increasing click-through rate by 17% and order value by 12%. • Built LLM-powered workflows using OpenAI GPT-4, LangChain to auto-extract structured data from documents, boosting accuracy. • Implemented PySpark pipelines with Great Expectations to validate and process clickstream and profile datasets, ensuring high-quality inputs for personalization models. • Deployed FastAPI-based recommendation and LLM APIs on Kubernetes, sustaining p95 latency under 100ms during peak traffic events. • Designed Redis-backed feature store with Kafka streaming, enabling real-time, session-aware personalization across millions of users. • Developed CNN-based defect detection model with PyTorch and Optuna, achieving 90% accuracy in production testing. • Automated GenAI cost tracking with Python and Jinja2, reducing reporting and analysis time by 40%. • Established MLflow tracking and centralized model registry, ensuring reproducible workflows and safe blue-green deployments. • Conducted controlled A/B testing with sequential monitoring to validate significance and optimize recommendation performance. • Integrated bias mitigation algorithms into ranking pipelines, ensuring fair exposure across demographics and reducing skew.
Education
The University of Texas at Dallas
Master's degree, Computer/Information Technology Administration and Management
GITAM Deemed University
Bachelor of Technology - BTech, Engineering
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