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AI/ML Engineer with 4+ years of experience architecting, building, and shipping production-grade machine learning systems and scalable enterprise software. Experienced across the full ML lifecycle from data/feature engineering and training to deployment and inference. Hands-on builder of LLM applications including RAG using LangChain/LangGraph and vector search (Pinecone/FAISS/Weaviate/Chroma), with strong MLOps practices (Docker, Kubernetes, MLflow, CI/CD) and cloud engineering across AWS/GCP/Azure to deliver measurable business impact.…AI/ML Engineer with 4+ years of experience architecting, building, and shipping production-grade machine learning systems and scalable enterprise software. Experienced across the full ML lifecycle from data/feature engineering and training to deployment and inference. Hands-on builder of LLM applications including RAG using LangChain/LangGraph and vector search (Pinecone/FAISS/Weaviate/Chroma), with strong MLOps practices (Docker, Kubernetes, MLflow, CI/CD) and cloud engineering across AWS/GCP/Azure to deliver measurable business impact.

Afziya Afzal Waknis

AI Engineer, AI Developer, Data Scientist, +1

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AI/ML Engineer with 4+ years of experience architecting, building, and shipping production-grade machine learning systems and scalable enterprise software. Experienced across the full ML lifecycle from data/feature engineering and training to deployment and inference. Hands-on builder of LLM applications including RAG using LangChain/LangGraph and vector search (Pinecone/FAISS/Weaviate/Chroma), with strong MLOps practices (Docker, Kubernetes, MLflow, CI/CD) and cloud engineering across AWS/GCP/Azure to deliver measurable business impact.…AI/ML Engineer with 4+ years of experience architecting, building, and shipping production-grade machine learning systems and scalable enterprise software. Experienced across the full ML lifecycle from data/feature engineering and training to deployment and inference. Hands-on builder of LLM applications including RAG using LangChain/LangGraph and vector search (Pinecone/FAISS/Weaviate/Chroma), with strong MLOps practices (Docker, Kubernetes, MLflow, CI/CD) and cloud engineering across AWS/GCP/Azure to deliver measurable business impact.

Available to hire

AI/ML Engineer with 4+ years of experience architecting, building, and shipping production-grade machine learning systems and scalable enterprise software. Experienced across the full ML lifecycle from data/feature engineering and training to deployment and inference.

Hands-on builder of LLM applications including RAG using LangChain/LangGraph and vector search (Pinecone/FAISS/Weaviate/Chroma), with strong MLOps practices (Docker, Kubernetes, MLflow, CI/CD) and cloud engineering across AWS/GCP/Azure to deliver measurable business impact.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Advanced

Hindi

Intermediate

Work Experience

AI Engineer at HyperNex Technologies

March 1, 2025 - Present

Architected and deployed enterprise automation workflows using LLMs, OpenAI APIs, and LangChain, reducing internal query resolution time by 42% and boosting employee productivity. Engineered high-dimensional vector search pipelines using Pinecone and FAISS for semantic knowledge retrieval across 15,000+ technical documents, improving contextual accuracy by 28%. Delivered scalable cloud-native data platforms and optimized ETL/ELT pipelines using Python, SQL, and Snowflake, reducing nightly data-processing latency by 35%. Established data warehouse solutions and star-schema dimensional models enabling self-service analytics for 120+ users via Tableau and Power BI. Built high-throughput FastAPI/Python RESTful data services and backend APIs, lowering Snowflake compute costs by $14,000 per quarter. Implemented data validation/governance integrated with CI/CD using Git, Docker, and Jenkins to sustain 99.95% production uptime; mentored 3 junior engineers and improved sprint velocity by 18%.

ML Engineer at LTI Mindtree

January 1, 2021 - August 1, 2023

Designed and deployed predictive maintenance and telecom analytics models using Python, TensorFlow, PyTorch, and Scikit-learn, improving network uptime by 14% and averting estimated $45,000 in monthly failure overheads. Built NLP and generative AI applications using Hugging Face and LangChain to accelerate automated text processing by 55% across legal and operational contracts. Streamlined large-scale data engineering workflows with Pandas/NumPy and Apache Spark for streaming datasets exceeding 4TB with improved stability. Built end-to-end MLOps pipelines with Docker, MLflow, and CI/CD automation to deploy scalable microservices on Google Cloud (BigQuery, Cloud Run, Cloud Storage). Implemented low-latency FastAPI/Flask RESTful and GraphQL APIs serving production ML models with peaks of 450+ requests per second. Automated workflow validation using Pytest and LangGraph, saving 15 hours/week; developed vector retrieval systems (Pinecone/Weaviate/Chroma) to power recommendation engines and