RK

Open to opportunities

Ratnesh Kumar

@ratneshkumar1

I build production AI, data pipelines, and GenAI systems for large-scale e-commerce platforms.

What I'm looking for

I'm looking to build production-grade AI, GenAI, and data systems where I can apply LLMs, agentic workflows, MLOps, and AWS to solve high-impact business problems at scale.

At Tata Consultancy Services, I build production AI and data systems for a government e-marketplace, working across large-scale data, cloud infrastructure, and end-to-end ML delivery.

I've developed RAG-based chatbots, agentic AI workflows, certificate validation, bid-document analysis, and vector-powered search on AWS. My work has reduced contact-center workload by 80%, lowered search infrastructure costs by 30%, and improved search speed by 50%.

I also build computer vision, forecasting, recommendation, and fraud-detection systems using Python, AWS SageMaker, Spark, Kafka, TensorFlow, and scikit-learn. These solutions have automated manual review, improved procurement planning, reduced returns, and supported real-time marketplace surveillance.

I'm focused on practical GenAI, LLMOps, MLOps, NLP, and agentic AI systems that turn complex data into reliable, measurable business outcomes.

Experience

Work history, roles, and key accomplishments

TS

Current

Data Scientist

Current

Tata Consultancy Services

Dec 2021 - Present (4 years 9 months)

Designed and maintained government e-marketplace data and AI systems, deploying production-grade AI/ML solutions and leveraging cloud services for real-time monitoring. Developed multiple AI solutions including an Agentic AI-powered price comparison system, a certificate validation system, a RAG-based chatbot, and a fraud detection system.

Python SQL AWS Sagemaker Bedrock Kendra Lambda S3 Lang Chain Crew AI RAG LLM NLP OpenCV TensorFlow PyTorch scikit learn Kafka PySpark Flask fastAPI Docker Git CI CD

Education

Degrees, certifications, and relevant coursework

WU

Woolf University

Master of Science, Computer Science

2022 - 2024

Grade: 4.0/4.0

Pursued a Master of Science in Computer Science with a focus on Artificial Intelligence and Machine Learning, achieving a GPA of 4.0/4.0.

GC

Guru Nanak Dev Engineering College

Bachelor of Technology, Information Technology

2016 - 2020

Grade: 7.34/10.0

Completed a Bachelor of Technology in Information Technology with a CGPA of 7.34/10.0.

Availability

Open to opportunities

Location

India

Authorized to work in

Job categories

Data Scientist Machine Learning Engineer Data Engineer Generative AI Engineer MLOps Engineer AI Engineer

Skills

Data Structures And Algorithms Python SQL PySpark Linux Shell Scripting Hadoop Apache Spark Apache Hive Airflow Confluent Databricks BigQuery NumPy Pandas Matplotlib Scipy SeaBorn Plotly Excel Tableau Power BI Qlik Sense ANOVA Hypothesis Testing A B Testing MySQL PostgreSQL MongoDB Cassandra Linear Regression Logistic Regression Decision Trees Random Forest SVM Naïve Bayes K NN Gradient Boosting XGBoost LightGBM KMeans Clustering Hierarchical clustering DBSCAN PCA T SNE Autoencoder GMM ARIMA SARIMA Prophet Transformers CNN RNN LSTM Gan OCR NLTK SpaCy Gensim TextBlob BERT scikit learn TensorFlow PyTorch Keras MxNet OpenCV Docling LLM Architecture Prompt Engineering RAG Fine Tuning SFT LoRAs QLoRA Model Optimization Quantization GGUF OpenAI GPT Series Hugging Face Groq API Vertex AI Ollama LLaMA 3 Mixtral Claude Faiss ChromaDB Pinecone Embedding models Hybrid Search BM25 Reranking Chunking Lang Chain LangGraph LangFlow Crew AI Phidata Agno OpenAI SDK AutoGen LlamaIndex Model Context Protocol Langsmith Tool calling Memory Systems Engineering Multi agent workflows Agent orchestration AWS S3 Amazon EMR AWS Lambda DynamoDB EC2 Cloudwatch AWS IAM Amazon Bedrock Amazon Kendra AWS ECS AWS Sagemaker Amazon Redshift AWS Glue Amazon Athena Amazon SNS Amazon SQS Amazon Quicksight Amazon API Gateway CloudFormation Amazon Cognito AWS Security OpenSearch MLOps LLMOps AI Ops MLFlow Docker Docker Hub Jenkins Git GitHub Gitlab CI CD Streamlit Pytest Jira Deployment pipelines End to End ML Pipelines Evidently AI REST APIs fastAPI Flask BeautifulSoup PyMuPDF EasyOCR SymSpell YOLOv8 LabelImg Cosine Similarity

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