Jhansi Kandadi
@jhansikandadi
AI/ML and Generative AI engineer delivering scalable, production-grade data and LLM solutions.
What I'm looking for
I am an AI/Machine Learning engineer with 10+ years of experience building end-to-end AI/ML and Generative AI systems, data pipelines, and cloud-native production deployments across banking, healthcare, retail, and clinical trials. I design and deploy LLM workflows, RAG pipelines, vector search, and MLOps solutions using tools like LangChain, Hugging Face, Pinecone, FAISS, Terraform, Kubernetes, and cloud ML services.
I have led engineering efforts for enterprise virtual assistants, clinical trial automation, and fraud detection, optimizing model performance with techniques such as QLoRA, PEFT, DeepSpeed, and Optuna while ensuring HIPAA/SOC2 compliance. I mentor junior engineers, collaborate with cross-functional teams, and deliver observable, secure, and scalable AI products that improve efficiency and business outcomes.
Experience
Work history, roles, and key accomplishments
Gen AI/Machine Learning Engineer
Commerce Bancshares, Inc
Jul 2024 - Present (1 year 3 months)
Designed and deployed an enterprise Smart Virtual Assistant using LLMs and RAG pipelines, improving semantic search and customer support automation while ensuring SOC2/HIPAA-compliant production MLOps.
AI/ML Engineer / Data Engineer
Medpace
Jan 2023 - Jun 2024 (1 year 5 months)
Built GenAI and LLM-driven clinical trial ETL and virtual patient engagement systems, implementing RAG pipelines, ASR/TTS workflows, and secure MLOps to automate clinical insights and improve patient interaction efficiency.
Data Scientist / Senior Data Engineer
Superior HealthPlan, Inc
Mar 2020 - Dec 2022 (2 years 9 months)
Led healthcare claims data lake and ETL modernization, developing distributed fraud-detection models and real-time analytics pipelines to reduce false positives and accelerate anomaly detection.
Big Data Engineer / Data Scientist
Lowe’s Companies, Inc
Dec 2017 - Feb 2020 (2 years 2 months)
Developed ETL automation and predictive models for retail analytics, delivering dashboards and ML pipelines to predict churn, optimize inventory, and inform executive decision-making.
Data Analyst / Associate Data Scientist
Mu Sigma, Inc
Aug 2014 - Oct 2017 (3 years 2 months)
Translated client requirements into analytics solutions, building predictive models and Tableau dashboards to drive retail and finance decision-making and reduce operational costs.
Education
Degrees, certifications, and relevant coursework
Jhansi hasn't added their education
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Tech stack
Software and tools used professionally
Splunk
Druid
Superset
ggplot2
Google Cloud Platform
GitHub
Kubernetes
AWS Fargate
Jenkins
GitHub Actions
Jupyter
NumPy
Pandas
PySpark
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Gmail
Node.js
Spring Boot
.NET Core
Next.js
.NET
Tailwind CSS
Material-UI
Databricks
OpenCV
Terraform
Vue.js
JavaScript
Java
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Streamlit
DeepSpeed
AutoGluon
NLTK
Kafka
FastAPI
Milvus
Airflow
Time Analytics
GuardRails
SQL
XGBoost
Hugging Face
LangChain
LlamaIndex
Weaviate
Pinecone
CrewAI
Delta Lake
OpenAI API
Score
Guardrails AI
ONNX Runtime
Bash
Availability
Location
Authorized to work in
Job categories
Skills
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