Swamy D.

Swamy D.

Hyderabad, India
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About Me

Machine Learning Engineer with 10 years of experience specializing in developing and deploying cutting-edge AI systems, particularly in ML, NLP, LLM fine-tuning, RAG (Retrieval-Augmented Generation), AI agents, Generative AI (GenAI), and large language models (LLMs). Proven track record in designing, building, and optimizing AI solutions that deliver substantial business value. Swamy D. has experience in feature engineering and feature selection, classification, regression, recommendation systems, clustering, dimensionality reduction, and outlier detection, A/B testing, Learning to Rank (LTR) modeling, Natural Language Processing (NLP), semantic search, vector databases, text classification, sentiment analysis, named entity recognition (NER), and language modeling, Llama, Gemma, Phi, and Zephyr. Proficient in deep learning frameworks (TensorFlow, PyTorch) and NLP-specific libraries (Hugging Face, spaCy, NLTK), along with Scikit-learn, XGBoost, FastAPI and AWS SageMaker. Experienced in containerization technologies like Docker and Kubernetes for packaging and deploying machine learning models.

AI, ML & LLM

BERT Langgraph MLFlow Naive Bayes Neural Networks Pytorch XGBoost

Backend

C/C++ Java Python

Database

SQL

DevOps

AWS CI/CD Docker Kubernetes

Other

AdaBoost Anaconda Attribution modeling BGE Big Data Analytics CoxPH Decision Tree Descriptive Al EDA Elasticsearch FPGrowth FastText Feature Engineering GLM Gemma Generative Al HDFS Hadoop Hive Hugging Face K-Means KNN LLaMA LambdaMART Learning to Rank Matplotlib Multi-Armed Bandit NLTK NPath Normalized Discounted Cumulative Gain Numpy PCA Pandas Phi Predictive Al Probability Pydantic Al Random Forest SVM SageMaker Scikit Learn Seaborn Spark Statistics Tensorflow Teradata Aster Analytics Teradata SQL Transformers Universal Sentence Encoder Visualization Zephyr spacy

Work history

Phenom
Phenom
Senior ML Engineer
2021 - Present (4 years)
Hyderabad, India

  • Fine-tuned LLMs such as Zephyr, Phi, Llama, and Gemma for specific HR applications.

  • Developed and deployed LLM-powered solutions for resume parsing, job parsing, profile matching, and candidate matching using foundation models like Zephyr, Phi, Llama, and Gemma.

  • Led a Learning to Rank (LTR) project to enhance job search results for candidates, improving relevance by 15% as measured by Normalized Discounted Cumulative Gain (NDCG).

ZephyrPhi LLaMA Gemma Learning to Rank Normalized Discounted Cumulative Gain XGBoostLambdaMART Multi-Armed Bandit Elasticsearch FastTextUniversal Sentence Encoder BERT BGE AWS SagemakerMachine LearningLarge Language Models (LLMs)
Teradata
Teradata
Machine Learning Engineer
2015 - 2021 (6 years)
Hyderabad, India

  • Developed and implemented ML workflows using Teradata's ML library to solve a range of business problems.

  • Worked on ML tasks, including classification, regression, association analysis, recommendation systems, clustering, dimensionality reduction, outlier detection, survival analysis, path analysis, and time series analysis.

  • Collaborated with cross-functional teams to integrate ML solutions into Teradata's data warehouse offerings, enabling seamless data-driven insights for clients.

HadoopHDFS HiveSparkGLM SVM Decision Tree Random Forest AdaBoost XGBoostNaive BayesKNN K-Means NPath CoxPH Attribution modeling Neural NetworksPCA FPGrowth NumpyPandasMatplotlibSeabornTeradata SQL Teradata Aster Analytics Machine Learning

Education

M.Tech Computer Science
M.Tech Computer Science
University of Hyderabad - India
2013 - 2015 (2 years)