Deepak Divya Tejaswi

Software Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in backend development for distributed systems.
Proven track record in API design and system optimization.
Successful project management experience in technology risk.

Stackforce AI infers this person is a Backend Software Engineer specializing in Fintech and SaaS solutions.

Contact

deepak.t@browserstack.com LinkedIn

Skills

Other Skills

Back-End Web DevelopmentC++Computer VisionContinuous Integration and Continuous Delivery (CI/CD)Data ModelsDatabasesDistributed SystemsHTMLMicroservicesMicrosoft OfficeProject ManagementPython for Data ScienceRRuby on RailsTeamwork

About

Experienced Software Engineer specialising in backend development for large-scale distributed systems. Proven track record in API design, system optimisation, and successful project management.

Experience

Browserstack

2 roles

Senior Software Engineer

Promoted

Nov 2023 – Present · 2 yrs 4 mos

Testhub

Software Engineer

Jul 2021 – Nov 2023 · 2 yrs 4 mos

Live Product Experience

Bny mellon

Graduate Associate

Aug 2020 – Jul 2021 · 11 mos · India

Worked with Investment Management Technology Risk team. Developed an end-to-end Risk Reporting Engine reporting technology risk and democratizing
tech risk data at a line of business level.

Indraprastha institute of information technology, delhi

Research Intern

May 2019 – Jul 2019 · 2 mos · South Delhi, Delhi, India

Cancer Genomics: Prediction of Copy Number Variation ratio specific to the case of Multiple Myeloma.

Capiot software

Intern

May 2018 – Jul 2018 · 2 mos · Hyderabad Area, India

| Worked on a REST API based Data Agnostic text classifier for researchers with zero computer science background using Flask, sci-kit learn, SpaCy and NLTK. Some successful test cases:
Classifying Consumer complaints into respective categories.
Using song lyrics to classify the song's genre.
| Worked on a live data science project involving text classification using custom SVM algorithm, use of Latent Dirichlet Allocation (LDA) Topic modeling and K-Means clustering.