Jan 2019 – Apr 2019 · 3 mos · India

• Educating the knowledge of AI and ML, with an opportunity to connect interested people across the globe.

Sep 2018 – Feb 2022 · 3 yrs 5 mos · Gurgaon, India

• Currently utilizing AI to influence MonoTonous Business by doing GAP Analysis and Implementation of better ML/DL/NLP approaches for their growth with the usage of different tools similar as mentioned below.
• Multi-Cloud Practitioner with AI-powered Product Developer.
• Done productionization of major complex pipelines of Machine learning Use cases.
• MLOPs developer architect to extensively utilize the engineering side of AI-powered use cases like Kubeflow Pipeline, Model Serving, Model Monitoring.
• Worked at building and customizing the Kubeflow stack for building Bodhi AI accelerator across Google Cloud Platform.
• Customizing the Kubeflow on top of GKE in Google cloud platform for various requirements and using various components Like Network Filestore, Secret Manager.
• Integrated various AI use cases in KF Serving for model deployment and monitoring those with Grafana.
• Worked on Building Models with Bodhi using Kubeflow and developed the services for Triggering Kubeflow Pipeline runs and experiments.
• Built multiple docker images for Jupyter Notebook (NLP, Vision, GPU image).
• Skills/Domain: Pytorch, Python, Machine Learning/AI, Deep Learning, Natural Language Processing, Google Dialog Flow, PySpark, Reinforcement Learning.
• Deep Learning Frameworks: Tensorflow1/2, Keras, Rasa-NLU, PyTorch, GluonTs

Jul 2018 – Dec 2018 · 5 mos · Mumbai Area, India

• I help the company make the most out of their data -- both technically and strategically.
• Depending on the company's stage and need, I focus on: building intelligent data products and teams; machine learning, AI and infrastructure; finding stories in the data; recommender systems; data as a strategic asset; technical due diligence.
• Very pragmatic and results focused; a decade in academia taught me sophisticated algorithms and a decade in industry taught me when not to use them.

May 2017 – Apr 2018 · 11 mos · Mumbai Area, India

• Python is the language of our choice.
• I have worked on Python libraries like sklearn, pandas, BeautifulSoup, scrapy, seaborn, matplotlib, requests, json,NLTK,TensorFlow,Keras,Gensim etc.
• I have also worked on big data ecosystem i.e. Hadoop ecosystem using Pyspark,Spark,Scala,Hive,Sqoop,Pig,Flume.

Dec 2015 – Sep 2018 · 2 yrs 9 mos · Powai

• Currently Involved in the preparation of different Blockchain/Machine Learning/Natural Language Processing platforms to evolve the data Science practice to showcase demonstrable interest on creating new entitlement for the solutions of use case given by clients.
• Machine Learning:
• Regression Models - Linear and Multiple Regression
• Classification Problems using KNN, Decision Trees, Naive Bayes, Random Forest, Bagging, Boosting, Logistic Regression and Support Vector Machines Models
• Unsupervised Learning: PCA, K-means & Hierarchical Clustering on real-world business problems, Exploratory Data Analysis.
• Advance ML: Deep Learning, Tensorflow, Keras,Gensim,Text Mining, NLP(NLTK),MAHOUT,MLlib.
• Tools and Languages: Python, Spark and Basic SAS,R,Tableau
• Databases: SQL,NoSQL,MongoDB,ElasticSearch.
• Data Processing:- Pyspark, Hive, Sqoop, Pig, Flume.
• Range of use cases on N.L.P problems - Review/QnA Relevance Match, Contracts/Feedback Match, Tweets:- Re-tweet Counts Prediction , Predictive analytics, Product Category Classification.
• Ranged from live projects and Kaggle competitions, to professional projects focused on real-world applications of Machine Learning and Data Science principles and best practices.
• Currently working on Design and development of proof-of-concepts using Blockchain concepts and implementing it by using solidity and different supportive tools.
• Good understanding of Bitcoin/Ethereum.
• Till date worked following Blockchain PoC:-
• a. Asset Management by using Blockchain as functional and utilizing the concepts of it by stopping the fraudulent transaction.
• b. Formation of Payback model.
• c. Transaction movement with the help of consortium of few valid member(nodes) which are involved in the flow and following the consensus(without any immature validation and use of immutability).
• Built understanding of Listing,Mining and also having understanding of cryptography, including asymmetric (pub/private key), symmetric, hash functions, encryption/signatures.

Aug 2014 – Dec 2015 · 1 yr 4 mos · Pune Area, India

• Feature engineering on the loaded data
• Pre-processing on invalid data and making it in proper structure.
• Analysis and validation of missing values and there Imputation thru by using different Statistical techniques.
• Cleansing the data for abnormalities and inconsistencies(Proving it statically normalised)
• Use of business functional knowledge and selecting the desired features.
• Implementing the machine learning models.

Jul 2013 – Aug 2014 · 1 yr 1 mo · Rewa Area, India

• Provided best service to the clients and customers.
• Used to maintain the database for the inventory of the bulk spares.
• Repair and maintenance of telecommunication devices and installation of new patches in the
• same.
• Updated my-self in every area of need as per organization goals.