Services
Priority DM . 2 days reply
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 30 mins
Video meeting . 30 mins
5
Video meeting . 30 mins
5
Video meeting . 60 mins
Video meeting . 60 mins
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.