Sequence Models

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Machine Learning

Amazon Web Services Developer - Associate

Neural Networks and Deep Learning

Deep Learning Specialization

Structuring Machine Learning Projects

Convolutional Neural Networks

At Fidelity Cares, we engaged in a range of activities at a government school. These included painting the walls, providing financial assistance, and imparting the significance of setting goals.

Volunteer, Fidelity Cares

Bachelor of Technology (BTech)

Joined into Fidelity's LEAP program - a four-month enriched onboarding program that included technology, business, leadership and personal development training.

I got into the Software Engineering track that included general training and an opportunity to work on a business project which tested analytical problem solving with strong coding capabilities.

Technologies learnt: Java, Springboot, Angular, Html, JS, CSS and Restful services.

Worked on a project which automates creating a new Financial Security data into a Master DB - used NLP to analyze unstructured data of an e-mail to gather the Financial Security information, whole project is built on a scalable and serverless architecture deployed in AWS. Implemented an alternative approach for the above automation by creating an Angular Chatbot that integrates with AWS Lex for applying the NLP.

Executive Graduate Trainee

Building an AI Data Platform for ONTAP customers. Focused on unlocking data insights at a scale of data centers, collaborating with teams to optimize data processing and storage for increased efficiency and cost savings.

Member of Technical Staff - 3 (MTS-3)

I was part of the Cloud Team that works on building Fidelity's Data Acquisition and Analytics Framework, a project which encompasses various big data technologies like Spark, Hadoop, Hive, Thrift, Sqoop, Zeppelin etc to help fidelity with the data acquisition, processing of financial data from various vendors and also provided analytics on this massive amount of Big data to support the core business every day. Had been associated with this project from start till completion.

I was also involved in various data exploration & data restructuring tasks, significantly contributed to developing various spring-boot projects that provide APIs for a systematic and controlled interaction on this big data. All of which were containerized and deployed onto Kubernetes.

Learnings: Shell, R, Python, Java, Spark, Hadoop, yarn, hive, Zeppelin, Sqoop, etc


Significant Achievements:

1.) Automated the tedious process of config files creation (in Data Acquisition & Analytics Framework) which would norm

Software Engineer

I spearheaded the development and scaling of Beem's BFF (Better Financial Feed) to provide millions of financial insights, akin to an Instagram-like feed. Additionally, I am currently working on building innovative products powered by AI and LLM for the risk and credit data science team at Beem. 

• Architected and developed Beem's BFF to millions of financial insights
• Building products powered by AI and LLM for risk and credit data science team at Beem

Sr. Software Engineer (Credit Risk and Data Science)

I’m currently focusing on building products powered by AI and large language models (LLMs).

Know about Revanth Vermareddy's work experience, education, bootcamps, certifications, and much more. Revanth Vermareddy