Aug 2021 – Aug 2023 · 2 yrs

• Leading the backend development of the user-facing app for RazorThink’s flagship product - “Razorthink Foresight” a cutting-edge Demand Forecasting & Planning Software.
• Developing back-end APIs and frameworks using Python libraries, with a focus on FastAPI, SQLAlchemy, and Pandas.
• Building microservices-based systems, employing REST APIs and Websockets to enable communication and coordination between distributed components.
• Hands-on experience using Postgresql and its robust features including procedures, functions, triggers, and materialized views, to optimize data storage, processing and retrieval.
• Leveraging Celery to run and queue background tasks
• Utilizing RabbitMQ and Redis for messaging and caching functionalities
• Integral part of the stack: Docker, Nginx, HTML, Jinja2, DuckDB, Supervisor.
• Harnessing the power of these technologies to develop agile and high-efficiency back-end systems for the product.

Sep 2020 – Aug 2021 · 11 mos

• As a Software Engineer, the primary focus was to develop the core modules of “RZT AI Platform” an AI building platform that allows the user to build ML, DL models, data recipes, and workflows(pipelines) adding value to their business solutions.
• Contributed to Python modules with a stack of -
• Async IO
• RESTful Webservices in: FastAPI, Flask
• WebSockets and Socket Programming: Tornado, ZMQ
• Basic understanding of Spark, Kafka, Horovod, HDFS, S3, GCP, Azure
• Docker & Kubernetes (GKE)
• GitHub and Jenkins for CI/CD

Jul 2018 – Aug 2020 · 2 yrs 1 mo

• My role at InfoObjects revolves around Software Engineering and Big Data.
• Hands-on experience with,
• Python, Java, and Scala
• RESTful web services and GraphQL
• Processing big data with Apache Spark jobs
• Frameworks like Flask, Graphene and ORMs like SQLAlchemy
• Databases: MySQL, PostgreSQL, Hbase, DynamoDB
• PySpark, Apache Airflow, and Apache Kafka
• AWS SDKs for S3, Lambda, DynamoDB, EC2, and SFTP

Jan 2018 – Jun 2018 · 5 mos

• Things that I worked on during my internship period,
• Apache Spark, HDFS, MapReduce, Yarn, Kafka, Hive
• Natural Language Processing and Data Mining with spaCy and NLTK
• Exploratory Data Analysis using Pandas
• Predictive Modelling and decision analytics with scikit-learn

May 2017 – Jul 2017 · 2 mos · Greater Jaipur Area

• As a part of Data Engineering team at Celebal, I worked on natural language processing problems (majorly chatbots) on large datasets which includes data handling and cleaning.
• Implemented REST SERVICES in Django with NO-SQL based Search Engine (Elasticsearch) to make the system fast for the un-structured queries performed by the user.

Jun 2016 – Jul 2016 · 1 mo · Greater Jaipur Area

• Learnt distributed computing for big data using hadoop framework & running applications on large clusters containerized Docker engine using Python TUI with tools like hive, pig.