Maitrish J.

Software Engineer

Bengaluru, Karnataka, India6 yrs 3 mos experience

Key Highlights

Developed SAAS solutions for major banks.
Led a team for a comprehensive machine learning project.
Expert in enhancing high-load performance.

Stackforce AI infers this person is a Backend-focused Software Engineer in the Fintech and SaaS industries.

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Skills

Core Skills

DjangoPython

Other Skills

Agile Project ManagementAsyncIOCommunicationDatabasesDjango REST FrameworkDockerJavaJiraKubernetesMachine LearningMicroservicesNeural NetworksProblem SolvingRabbitMQRedis

About

As a software engineer at Affinsys AI, I develop and maintain a SAAS-based conversational AI platform that serves Nine major banks and telecoms globally. I use Python, Django, AsyncIO, Redis, and RabbitMQ to implement and enhance the high-load performance, robustness, and scalability of the platform. I also collaborate with DevOps and other teams to design and deploy solutions on Kubernetes and Docker systems. I have a keen interest in coding, and machine learning, which I pursue through my education and projects. I am a BTech in Computer Science from the Vellore Institute of Technology, where I learned various algorithms and tools for data analytics and data science. I also led a team of eight people for "C4Projects" that involved backend, frontend, and machine learning teams. I enjoy working on end-to-end solutions, planning and brainstorming implementations, and writing code that is easy to maintain and scale.

Experience

Abnormal ai

Software Engineer

Mar 2024 – Present · 2 yrs

Affinsys ai (bankbuddy.ai, telcobuddy.ai)

Software Engineer

Jan 2022 – Mar 2024 · 2 yrs 2 mos · Bangalore Urban, Karnataka, India

My Responsibilities include:
Implementing and maintaining SAAS based Conversational AI creator solution (BotPlatform) which is currently in production for 4 Major Banks and Telecoms.
Enhancing high load performance of Bot using AsyncIO with Django Rest Framework to handle 100s of concurrent requests per second.
Working with DevOps members to design and develop robust solutions to meet client requirements for scalability and On-Prem solutions.
Writing Unit/Integration/Functional tests for all features and functionalities for Bot Engine.
I also did:
Incorporated Redis queue for Kubernetes auto scalability of Bot pods and advance memory sharing between containers.
Adjusted design parameters to incorporate new features such as Auto VCS Metadata loader(GitHub/Bitbucket).
Worked with NLP team to integrate BERT based Intent Inference models.
Coordinated with different teams and designed Agile processes for Backend teams which include sprints on JIRA, GitHub releases and actions

PythonDjangoAsyncIORedisRabbitMQKubernetes+2

C4projects

Machine Learning Intern, Project Owner

Jun 2019 – Jul 2021 · 2 yrs 1 mo · Vellore Area, India · Remote

Managed a team of 8 people for the main product, which included the backend team (Typescript-MERN), frontend, and machine learning teams.

Verzeo

Machine Learning Intern

Mar 2019 – May 2019 · 2 mos

Machine Learning intern, learnt multiple algorithms for data analytics and data science on Python. Hands-on experience in Pandas, Numpy, Scikit learn.