Suchismita Banerjee

Software Engineer

Bengaluru, Karnataka, India5 yrs 2 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Proven expertise in full-stack development.
Strong background in machine learning applications.
Experience in cloud automation and containerization.

Stackforce AI infers this person is a Full-Stack Engineer with expertise in SaaS and Fintech solutions.

Contact

Skills

Core Skills

Cloud AutomationContainerizationFull-stack DevelopmentMachine LearningSpring BootMicroservicesData ScienceContent ManagementJava Development

Other Skills

Accounts Receivable (AR)Android StudioAngularApache KafkaArtificial Intelligence (AI)Augmented Reality (AR)BootstrapC (Programming Language)CSS3Content Management Systems (CMS)Core JavaDatabase Management System (DBMS)DockerDrupalElastic Stack (ELK)

About

Full-stack engineer with 3+ years of experience in developing scalable web applications and implementing containerized cloud solutions.

Experience

5 yrs 2 mos

Total Experience

1 yr 4 mos

Average Tenure

1 yr

Current Experience

Jpmorganchase

Software Engineer II (IC2)

Jun 2025 – Present · 1 yr · Bengaluru, Karnataka, India · Hybrid

Servicenow

Software Engineer II (IC2)

Nov 2023 – May 2025 · 1 yr 6 mos · Hyderabad, Telangana, India · On-site

Cloud Automation Platform R&D

DockerKubernetesGo (Programming Language)Cloud AutomationContainerization

Dell technologies

4 roles

Software Engineer II (IC2)

Promoted

Feb 2023 – Nov 2023 · 9 mos

1. BOM & Configuration Management: Developed a Spring Boot service to serve Bill of Materials (BOM) data to 30+ consumers at 350+ requests/sec, deploying endpoints as microservices using Spring Modules architecture for scalability.
2. Order Flow Anomalies: Developed Machine Learning models to detect anomalies in inventory shipment processing, providing a comprehensive view of order flows. Forecasted order flow events and completion times while identifying deviations such as delays, disordered sequences, and missing events.

AngularSpring BootMongoDBApache KafkaElastic Stack (ELK)Python+5

Software Engineer I (IC1)

Aug 2021 – Jan 2023 · 1 yr 5 mos

Service Log Analytics: Led an end-to-end ML log monitoring project that processed 100M+ daily logs from 450+ services to detect anomalies, automated incident management via email alerts and ServiceNow. Containerized the application with Docker and deployed it on Pivotal Container Service (PKS). Prevented 3+ Kafka downtimes by proactively mitigating lag from erroneous logs.

AngularSpringBootMachine Learning AlgorithmsKubernetesPythonDocker+2

Undergraduate Winter Intern

Feb 2021 – May 2021 · 3 mos

Built an Analytics dashboard delivering real-time insights on service logs. The application was built using Angular (Micro-frontend architecture) for the frontend, Spring Boot and MongoDB for the backend (full-stack development).

Augmented Reality (AR)AngularSpringBootElasticsearchApache KafkaVirtual Reality (VR)+2

Undergraduate Summer Intern

May 2020 – Jul 2020 · 2 mos

Delivered a Headless CMS (Drupal and Angular) solution to bring a single-pane dashboard view of different UI applications.

AngularContent Management Systems (CMS)DrupalContent Management

Highradius

2 roles

Data Science Intern

Jul 2020 – Jan 2021 · 6 mos

Worked in a team to manage Accounts Receivable and delivered AI enabled solutions to clients for prediction of customer payment dates.

Accounts Receivable (AR)Machine Learning AlgorithmsMachine LearningArtificial Intelligence (AI)Data Science

Summer Intern

May 2020 – Jun 2020 · 1 mo

Delivered a full stack web-based AI Enabled B2B Fintech Application for Accounts Receivable incorporating React for UI, Java, Machine Learning for data models to predict partial payments and Dialogflow for creating a chatbot for seamless user experience.

JavaMachine Learning AlgorithmsReactSQLFull-Stack Development