Rishik Endurthy
Data Scientist
6+ years exp
6+ years ML exp
SQL
Java
Python
Active 8 days ago
+1 (612) 4660259 Invite to interview
Message
Download CVCV
Overview
Technical skills
Timeline
Roles
Overview
Data Scientist focused on AI/ML and generative AI, including LLM workflows with LangChain and LangGraph. Has experience optimizing NLP and deep learning pipelines, building real-time inference services with REST APIs, and deploying scalable systems with Docker, Kubernetes, and cloud infrastructure. Worked on production ML projects such as forecasting, recommendations, and NLP/vision applications, alongside monitoring and safety/quality improvements for agentic pipelines.
Technical skills
SQL
Java
Python• Junior
Python
FastAPI• 6y+
Flask• 6y+
Databases
Delta Lake
ElasticSearch
FAISS
Google BigQuery
Milvus
Pinecone
Snowflake
Weaviate
AI/ML
Computer Vision
Gemini
Groq
Hadoop
Hallucination
MLFlow
Multimodal AI
NeMo Guardrails
NLP
NLTK
NumPy
Pandas
PyTorch
RAPIDS
Sentiment Analysis
Transformers
Airflow• 6y+
BERT• 6y+
LightGBM• 6y+
OpenCV• 6y+
Scikit-learn• 6y+
spaCy• 6y+
Spark• 6y+
TensorFlow• 6y+
XGBoost• 6y+
LangChain
LangGraph
Triton Inference Server
CNN
Fine-tuning
LLM
Prompt Engineering
RAG
TensorRT
Vertex AI
DevOps
Amazon EC2
AWS Lambda
Azure
CI/CD
Git
Vector
AWS• 6y+
Rest API• 6y+
Docker
Kubernetes
GCP
Analytics
Matplotlib
Power BI
Plotly• 6y+
Seaborn• 6y+
Tableau• 6y+
Timeline
Data Scientist (AI/ML)
•
Middle
NVIDIA
•
Full-Time
Data Scientist (AI/ML)
•
Middle
NVIDIA
•
Full-Time
Built a multi-agent LLM orchestration system using LangChain and LangGraph to improve task resolution speed in production AI workflows. Optimized NLP pipelines on GPU infrastructure to reduce inference latency and increase throughput. Created distributed data pipelines with Spark and Airflow and deployed low-latency inference services using Triton Inference Server, Docker, and Kubernetes. Integrated safety and quality components to reduce hallucination-related failures in agent pipelines.
LangGraph
LangChain
Spark
Airflow
Triton Inference Server
Docker
Kubernetes
Data Scientist (AI/ML)
•
Middle
Amazon
•
Full-Time
Developed supervised machine learning models for demand forecasting and personalized recommendations, and improved their accuracy through iterative experimentation. Built NLP pipelines for classification, NER, and sentiment analysis using BERT and spaCy. Implemented real-time inference by serving models with Flask and FastAPI and improved throughput via data pipeline optimization with Spark and Airflow. Used AWS SageMaker for ML workflow and deployment and delivered business-facing dashboards for model monitoring and insights.
Rest API
Tableau
Sparksince 2020
Airflowsince 2020
Flask
OpenCV
XGBoost
FastAPI
Scikit-learn
Seaborn
LightGBM
Plotly
spaCy
TensorFlow
AWS
BERT