Nihal Goalla

Software Engineer

New York City7 yrs experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable systems with Python and Django.
Proven track record in improving system automation and efficiency.
Strong background in integrating advanced technologies for banking solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack Engineer with expertise in SaaS and Fintech solutions.

Contact

Skills

Core Skills

PythonDjangoApache AirflowJava

Other Skills

PostgreSQLAWSRabbitMQDockerCeleryIBM WatsonMySQLNumpySciPyRESTScrapyMatlabResearchProject ManagementMachine Learning

About

Software Engineer with great passion in building scalable systems and bringing positive change to the world. Interested in distributed systems, Video Streaming and volunteering opportunities for causes close to my heart. Feel free to connect with me at goallanihal1995[at]gmail.com Technical Skills: • Languages: Python, R, C++, Java • Frameworks: Django, Flask, Git, Linux, LaTeX • Libraries: Caffe, Tensorflow, spaCy, NLTK, Pandas, NumPy, Keras • Databases: PostgreSQL, MongoDB, MySQL • Amazon Services: Elastic Beanstalk, AWS SQS, AWS Lambda • Container Systems: Kubernetes, Docker • Infrastructure: AWS, GCP • Others: Apache Airflow, RabbitMQ, Celery, IBM Watson Applications

Experience

7 yrs

Total Experience

2 yrs 4 mos

Average Tenure

4 yrs

Current Experience

Amazon

Software Engineer

Jun 2022 – Present · 4 yrs · New York City Metropolitan Area

My ally (acquired by phenom)

Software Engineer

Jan 2019 – Jan 2020 · 1 yr

Built micro-services in Python using Django framework connecting with PostgreSQL and AWS.
Designed and developed a flagship product in Python/Django which ensures seamless negotiations between ’n’parties. Increased the overall automation of the system by 10%.
Improved consistency of the pipeline by removing legacy CRON, PostgreSQL and replacing with Apache Airflow with RabbitMQ, MongoDB. Created new deployment process for Docker containers usingAWS, and ensured continuity with existing applications.
Improved cache and storage mechanisms to reduce the API load.
Developed and debugged software tools utilised by clients

PythonDjangoPostgreSQLAWSApache AirflowRabbitMQ+1

Ibm

Data Scientist

Jan 2017 – Jan 2019 · 2 yrs

Created a Document Parser which converts documents into structured output with identification of 250+ features, entities; Implemented celery for smoother load distribution on IBM Cloud
Leveraged POS tagging to create rule based annotators for Banking Fortune 500 Client. Converted the tender into an ongoing project.
Created pattern based annotators to successfully identify and classify an automotive issue into 20 classes with 88% accuracy
Integrated and developed various Watson services and micro-services with the help of REST, Python and Java to produce a state-of-art Banking solution.
Languages: Python, Java
Other Tech Suites: Watson, IBM Content Classification, MySQL, Numpy, SciPy

PythonJavaCeleryIBM WatsonMySQLNumpy+1

Headrun technologies pvt ltd

Software Engineer

Jan 2016 – Jan 2016 · 0 mo

Conceptualised and built a framework to automate spider generation for individual datatype extraction.
Extracted metadata related to about 10000 movies and 30000 crew from entertainment websites using scrapy
Utilised MySQL for developing a relational database model; Developed assigned functionalities in python and SQL

PythonMySQLScrapy