d
de_bishal

Bishal De

@de_bishal

Software Development Engineer

Índia
Inglês, Hindi, Bengali, Bihari
Algumas informações são exibidas no idioma inglês.
Sobre mim
I am a Full-Stack Web Developer & Machine Learning Specialist with 3+ years of experience in developing and deploying applications using the MERN stack. I have demonstrated success in delivering high-quality projects for clients.... Saiba mais

Habilidades

d
de_bishal
Bishal De
offline • 
Tempo médio de resposta: 1 hora

Conheça meus serviços

Aplicações Web Full Stack
I will develop python, flask, fastapi backend for your applications
Aplicações Web Full Stack
I will develop API and web applications using flask, fastapi, python and reactjs

Experiência profissional

Twilio

Software Development Engineer 1

Twilio • Período integral

Jun 2025 - Present11 mos

Currently part of Twilio’s Observability team under the Communications (coms) business unit, contributing to the reliability and performance monitoring of distributed systems. • Primary development involves coding in Python and Go, with a focus on backend services and observability tooling. • Utilized Datadog for monitoring metrics and traces, and proficient in the Grafana stack, Prometheus, and have working knowledge of Nagios for legacy monitoring setups. • Experienced with CI/CD pipelines using Buildkite, actively manage and deploy cloud infrastructure and services on AWS. • Actively participate in internal hackathons, building innovative tools and observability solutions to improve monitoring, alerting, and performance insights across platforms

Nokia

Software Developer Intern

Nokia

Aug 2024 - May 20259 mos

Collaborated and part of the Cloud and Networking Services (CNS) team and the AI-R&D team to enhance the productivity of internal platforms and client solutions. Developed and optimized full-stack applications using Next.js, Express.js, and Flask, incorporating Python and C++ for backend functionalities within microservice architectures. Leveraged Docker, Kubernetes, and other DevOps tools to streamline deployments and manage containerized applications. Actively participated in Hackathons, implementing solutions that integrate RAG (Retrieval-Augmented Generation) and large language models (LLMs) to drive innovation and performance gains across platforms.

PwC

Cloud & Digital Analytics Intern

PwC

Jan 2024 - Jul 20246 mos

Acquired hands-on experience with core IT fundamentals, RDBMS, Python, and Data Engineering concepts, utilizing Python with libraries Pandas, NumPy, and Seaborn to drive data analysis and visualization projects. Developed proficiency in database management, foundational software development, and data processing methodologies to support analytics and digital transformation initiatives.