name: Shrihari Rajendrakumar Kulkarni
profile: >-
Backend-focused Computer Engineering undergraduate interested in event-driven
microservices, secure APIs, and distributed systems.
education:
institution: SCTR's Pune Institute of Computer Technology
degree: B.E. in Computer Engineering
period: 2023-2027
cgpa: 9.15
technical_focus:
languages: [Java, C/C++, Python, SQL]
backend: [Spring Boot, Spring Security, Spring Data JPA, Spring Cloud, Spring MVC, gRPC]
system_design: [High-Level Design (HLD), Low-Level Design (LLD), SOLID Principles]
distributed_systems: [Apache Kafka, Redis, microservices, asynchronous workflows]
infrastructure: [Docker, Kubernetes, GitHub Actions]
projects:
- name: SentientGate
work: Six-microservice security gateway for low-latency threat detection using Kafka, Redis, gRPC, and Kubernetes.
- name: Centralized KYC Verification Platform
work: Consent-driven onboarding with OTP verification, JWT and RBAC, encrypted data, and asynchronous Kafka workflows.
experience:
- role: Open Source Contributor
organization: Apache DolphinScheduler
work: Workflow engine modules and integration tests, including timeout warning and failure scenarios.
- role: Research Intern
organization: SCTR's Pune Institute of Computer Technology
period: Jan-Mar 2026
work: Backend APIs and controlled code execution with automated evaluation for programming assessments.
achievements:
- "AICTE National CTF: rank 700 among 10,000+ participants"
- "LeetCode: highest contest rank 864"|
AI-Powered Security API Gateway A six-microservice, event-driven API gateway for real-time threat detection, adding just 2–3 ms of latency per request. Key Design Decisions:
Highlights:
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Consent-Driven Distributed Identity Platform A six-service platform that streamlines consent-driven KYC verification with OTP checks and bank approval, while downstream workflow processing runs asynchronously. Key Design Decisions:
Highlights:
|
|
Automated Threat Detection Pipeline Python static-analysis and machine-learning pipeline that extracts PDF structure and metadata features to identify suspicious documents. Key Design Decisions:
Highlights:
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Codebase Analysis & Architecture Visualization An AI-powered platform that accepts Git repository URLs, parses source code with AST analysis, and builds dependency graphs with interactive file-import and architecture visualizations. A RAG-based pipeline indexes repository metadata and architectural context for natural-language queries. Highlights:
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Apache DolphinScheduler — Open Source Contributor · Jan 2026–Present
Contributing to workflow engine modules and integration test cases in Apache DolphinScheduler, a distributed task scheduling system.
- Implemented and debugged
WorkflowStartTestCasefor timeout warning and failure scenarios. - Analyzed CI failures and strengthened database assertions using MySQL and Maven.
- Collaborated with maintainers through feedback and structured pull-request reviews.
| Institution | Qualification | Period | Result |
|---|---|---|---|
| SCTR's Pune Institute of Computer Technology, Pune | B.E. Computer Engineering | 2023–2027 | CGPA 9.15 |
| Dayanand Science College, Latur | Higher Secondary (XII), Science | 2021–2023 | 84.33% |
- Built a code-execution platform for programming assessments with controlled submission execution and automated evaluation.
- Developed REST APIs for assessment creation, problem management, code submission, and result tracking.
- Implemented validation, execution triggering, test-case result capture, and evaluation-status reporting.
- AICTE National CTF: Rank 700 among 10,000+ participants.
- Flipkart GRiD 8.0: Semifinalist in the national-level software engineering challenge.
- HackVega 2.0: Finalist in the national-level CareerNet hackathon.
- LeetCode: Highest contest rank 864.
- Cybersecurity Training (Udemy): Network security, cryptography, web security, and common cyber attacks.
