Services

Priority DM . 2 days reply
FREE
Video meeting . 30 mins
500
Video meeting . 30 mins
799
Video meeting . 30 mins
1,500
Video meeting . 30 mins
5
500
Popular
Video meeting . 30 mins
5
500
Video meeting . 60 mins
1,200
Video meeting . 60 mins
2,000

Ratings and feedback

5/5
2 ratings

About me

Proficient in Machine Learning and Machine Distributed Framework Design & Development, like to play around with open source languages and explore new technologies. Machine Learning: - Data Fetch - Clean - Slice and Dice (pandas/numpy/ray/jupyter) - Data Story-teller through code(matplotlib/jupyter) - Hands on experience different types of ML model/algorithms (scikit-learn/pyspark/scala-mllib) and transformer, BERT, LLM, RAG based usecases implementation including fine-tuning - Performance tuning ML models. - ML model deployment - ML model-as-service Interaction with stakeholders. - BigData Tools/Distributed FW : Hadoop, spark, pig, hive, Oozie,hdfs, ray, Airflow - Cloud Platform: GCP,AWS - mlops (kubeflow, mlflow, seldon, DVC) - Analysis of deployed model - A/B testing , multi-arm bandit , Drift analysis (EvidentlyAI) - Exploration of AI/ML open source tools/techniques, latest papers. Applied ML on Domain : > Security products > Infrastructure Data > Equity Market Automation: Developed Test Framework using TAP Harness(perl),unittest (python), pytest (python, nunit(C#),Robot(python), TestNG(Java) Type of Automation Done : Web based Automation (java/python/selenium webdriver) , Windows UI automation (C# UIAutomationElement,sikuli,AutoIT), Back-end Automation (perl/python/shell/java) Mobile Automation(appium/java/python), API Automation(python/java), Big Data Platform Automation(pySpark, Oozie, hive) Distributed Machine Communication Technology/Tool : ssh , STAF ,Web Services Code Coverage Tool: Bullseye,Coverity,Ncover Specialties: Python, Perl, Java, Scala, golang, Selenium Web Driver, Test Automation Framework Design & Development , Test Harness, CI/CD, DevOps, Jenkins, Security Products, Software Product Development ,SCM,DVC, Docker, Kubernetes ,breaking code, debug, code optimization, Data Science python libraries (scikit-learn,NumPy, Scipy, Matplotlib, Pandas),transformer, LLM , LangChain, PySpark-ML, jupyter notebook, NLP, RASA , CNN, Keras, Ray, BigData and Machine Learning Algorithms, kubeflow, mlflow, math, statistics.