Shreyas Bulbule

Full Stack Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

First place holder at DevHack by IIT Dharwad.
Proficient in Data Structures, Algorithms, and CS Fundamentals.
Experienced in NLP techniques and Full Stack Development.

Stackforce AI infers this person is a Full Stack Developer with expertise in SaaS and NLP applications.

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Skills

Core Skills

Full-stack DevelopmentSoftware Development

Other Skills

Amazon Web Services (AWS)Artificial Intelligence (AI)AutomationBack-End Web DevelopmentBlenderBlockchainC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationComputer VisionConvolutional Neural Networks (CNN)Data AnalysisData ScienceData Structures

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Sprinto

2 roles

Full Stack Engineer

Aug 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India · Remote

Developed a centralized notifications module to power multi-channel notifications with user-configurable preferences based on app areas to giving users greater control over how and where they receive updates.
Migrated multiple legacy notification modules into the new centralised system, increasing monitoring,
logging, and better error handling coverage by nearly 40%.
Redesigned the external domain setup of Trust Center by optimising the generation of creds, improving error messaging, auto-rescheduling of sync process, reducing the total number of customer tickets by 80%.
Monitored dependabot vulnerabilities across the codebase and replaced/upgraded outdated packages.
Developed internal productivity tools, a Cursor rule with GitHub MCP integration to raise pull requests with AI-generated descriptions, and a Slack bot to remind team members of assigned support tickets.
Merged two legacy pages into a unified, user-friendly page while preserving all original functionality.
Developed a centralized check page for all related configurations and information for better accessibility.
Debugged and resolved multiple high-priority, previously unseen special ops tickets, swiftly unblocking customers.
Enhanced Data Visibility & Efficiency: Implemented a special-case filter across all monitoring tables, improving task organization and visibility, reducing user effort by 90%, and streamlining workflow efficiency.
Addressed high-priority (P0) customer delights and feature requests, delivering solutions that directly enhanced user satisfaction and product experience for marquee customers.

DjangoPostgreSQLGraphQLSoftware DesignProblem SolvingGit+2

Full Stack Engineer Intern

Feb 2024 – Jul 2024 · 5 mos · Bengaluru, Karnataka, India · Remote

Created a script to replicate a previously failed evidence collection cron action internally.
Migrated approximately 250 Button components to new versions using jscodeshift scripting to improve UI.
Delivered more than 7 components to the internal frontend library to help pods complete their stories while maintaining high-quality frontend components.

Opengig

Software Development Intern

Oct 2023 – Jan 2024 · 3 mos · Pune, Maharashtra, India · Remote

Developed a website-wide search with caching and fuzzy auto-complete, achieving an average response time of 40ms and high accuracy for an IT resources site.
Translated statistical methods’ logic for player runs, economy and wickets prediction into code for an MVP.
Utilized IPL website APIs to fetch the latest player stats and update the database before making predictions.
Created a RAG based scripts that use study material like PDFs and online articles as resources and use them to generate complex MCQs which require complex critical thinking skills to solve.

Vocabai

Software Development Intern

Feb 2023 – Sep 2023 · 7 mos · Bengaluru, Karnataka, India · Remote

Applied NLP techniques to rate customer care agents of an MNC on the basis of their chat text on various parameters like empathy, politeness, customer retention effort, etc.
Used data processing methods to develop ETL scripts that processed raw chat data to model ready texts.
Tried various ways involving BERT embeddings, zero-shot classification and traditional machine learning methods
in PyTorch and Scikit Learn.

Quartgen solutions private limited

Data Science Intern

Jun 2022 – Aug 2022 · 2 mos · Remote

Prepared Live Dashboards with Python, Google Sheets and AWS.
Built Options Trading strategy based on outputs of Machine Learning models in TensorFlow.
Built stock index time series forecasting Machine Learning models.