AI/ML and GenAI engineer with 5+ years of experience architecting, deploying, and scaling production-grade machine learning and LLM/agentic solutions. Strong background across Python-based backend development (Django/Flask/FastAPI), REST microservices, asynchronous/streaming workflows, and end-to-end ML lifecycle delivery—from data ingestion to real-time deployment and monitoring. Hands-on expertise in GenAI, RAG, NLP, and transformer models using LangChain/LangGraph, LlamaIndex, OpenAI APIs, Hugging Face, and vector stores (FAISS/Weaviate). Focused on LLMOps and safety/compliance with Guardrails.ai, TruLens, and PromptLayer, building reliable and secure enterprise applications for automation, document understanding, customer support, and decision intelligence.

Sai Shiva Achan

AI/ML and GenAI engineer with 5+ years of experience architecting, deploying, and scaling production-grade machine learning and LLM/agentic solutions. Strong background across Python-based backend development (Django/Flask/FastAPI), REST microservices, asynchronous/streaming workflows, and end-to-end ML lifecycle delivery—from data ingestion to real-time deployment and monitoring. Hands-on expertise in GenAI, RAG, NLP, and transformer models using LangChain/LangGraph, LlamaIndex, OpenAI APIs, Hugging Face, and vector stores (FAISS/Weaviate). Focused on LLMOps and safety/compliance with Guardrails.ai, TruLens, and PromptLayer, building reliable and secure enterprise applications for automation, document understanding, customer support, and decision intelligence.

Available to hire

AI/ML and GenAI engineer with 5+ years of experience architecting, deploying, and scaling production-grade machine learning and LLM/agentic solutions. Strong background across Python-based backend development (Django/Flask/FastAPI), REST microservices, asynchronous/streaming workflows, and end-to-end ML lifecycle delivery—from data ingestion to real-time deployment and monitoring.

Hands-on expertise in GenAI, RAG, NLP, and transformer models using LangChain/LangGraph, LlamaIndex, OpenAI APIs, Hugging Face, and vector stores (FAISS/Weaviate). Focused on LLMOps and safety/compliance with Guardrails.ai, TruLens, and PromptLayer, building reliable and secure enterprise applications for automation, document understanding, customer support, and decision intelligence.

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Language

Afar
Advanced
Bashkir
Intermediate
Javanese
Intermediate

Work Experience

Generative AI/ML Engineer at Budco Financial
July 1, 2025 - Present
Analyzed user interaction data to identify improvements and enhance intelligence across deployed ML solutions. Developed and deployed GenAI models using TensorFlow/PyTorch and OpenAI GPT APIs for text generation and automation. Built prompt workflows and used OpenAI Assistants API for customer service, FAQ generation, and document summarization. Implemented production end-to-end RAG pipelines with LangChain, FAISS/Weaviate, and Azure Cognitive Search, including hybrid semantic+keyword search with embedding rerankers and LlamaIndex-based ingestion and chunk retrieval. Integrated tool use/function calling for multi-step workflow automation. Architected and deployed secure RESTful microservices (Flask/Django) exposing documented APIs for supply chain workflow automation. Applied Guardrails.ai for safety and hallucination mitigation. Deployed and monitored LLM APIs across OpenAI/Claude/Vertex AI in Docker/Kubernetes on OpenShift with GPU acceleration via OpenShift GPU Operator. Implemented
AI/ML Engineer at Chewy.com
September 1, 2024 - June 30, 2025
Developed and tested prompt engineering strategies to evaluate LLM consistency and hallucination rate. Prototyped lightweight RAG-like context chaining using BERT embeddings and NER outputs. Applied core NLP techniques (tokenization, stemming/lemmatization, sentiment scoring, POS tagging) to analyze rhetorical structure, sentiment intensity, and public reaction trends. Architected production multi-agent AI systems using PydanticAI and MCP for API-driven enterprise document understanding. Implemented MLOps pipelines with MLflow, Docker/Kubernetes, and CI/CD (GitHub Actions/Bitbucket/Jenkins) for training, deployment, monitoring, and model versioning. Integrated ML models into production use cases such as payroll, risk/fraud, and identity verification. Built AutoML workflows with MLflow/Kubeflow to reduce model development cycles while maintaining strong performance. Set up Prometheus/Grafana observability and improved security/compliance through audits and remediation. Reduced cloud spe
Data Scientist / AI/ML Engineer at Techbion Software Systems Pvt Ltd
August 1, 2019 - December 1, 2022
Collaborated with ML engineers and data scientists to build data/model pipelines and support ML experiments and testing. Performed data extraction, cleaning, screening, exploration, validation, and visualization for structured and unstructured datasets. Built large-scale ML and deep learning solutions for logistics/travel-related use cases. Developed NLP frameworks and models that were extensible to new product features, improving natural language understanding with measurable outcomes. Delivered predictive analytics and forecasting for new product sales with reported accuracy of ~90%. Built data infrastructure for ETL using SQL and reporting/visualization using Tableau. Partnered with stakeholders and product owners to translate requirements into predictive modeling, text mining, and forecasting solutions, while working on delivery goals.

Education

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Qualifications

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Industry Experience

Software & Internet, Financial Services, Professional Services, Transportation & Logistics, Retail

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