I architect scalable distributed systems that serve millions — optimizing every layer from ideating to deployment.

I am currently pursuing a MS in Computer Science at Northeastern University.
Previously, I worked at Amdocs Corporation for 1.5+ years where I built production microservices for a telecom platform serving 10M+ subscribers with 99.5% uptime.

Prasad Kanade

Experience

Where I've Worked

Software Engineering Associate December 2023 – May 2025

Amdocs Corporation — Pune, India

  • Engineered 8+ production microservices using Spring Boot and Oracle for JCOM's CRM and telecom billing platform serving 10M+ subscribers, delivering 25+ features and maintaining 99.5% uptime across distributed service architecture
  • Optimized Oracle database queries, achieving 60% performance improvement through composite indexing and query refactoring, eliminating 15 hours/week of processing delays and enhancing system responsiveness for critical operations
  • Built automated test suites with JUnit and Mockito covering unit, integration, and API contract testing, achieving 80% code coverage and reducing production defects by 30%
  • Developed 5 SOAP-based web services integrating Amdocs CRM with external BSS/OSS systems, processing 50K+ daily transactions with 99.7% uptime
  • Containerized microservices using Docker and deployed on AWS EC2, reducing deployment time from 45 minutes to 8 minutes per release cycle
Software Engineer Intern July 2022 – December 2022

ISKCON Organization — Pune, India

  • Automated infrastructure monitoring with Bash scripts and cron jobs, implementing alerting systems for CPU, memory, disk usage, and service availability that saved 4 hours weekly while reducing unplanned downtime by 25%
  • Deployed cloud-native applications on AWS EC2 with ECR/ECS, reducing deployment time by 78% and achieving 93% uptime
  • Designed normalized MySQL database schema (3NF) managing 100K+ records across devotee profiles, events, and financial transactions
Software Developer Intern March 2021 – October 2021

Simba Developers Organization — Pune, India

  • Architected distributed microservices using Node.js and Express for authentication and payment modules, enabling independent scaling and reducing cascade failures by 65% through fault-tolerant design patterns
  • Integrated WebSocket modules for real-time bidirectional communication, achieving sub-50ms latency for live chat and push notifications across 10K+ concurrent connections
  • Reduced app load time by 44% (3.2s → 1.8s) by optimizing Flutter state management with Riverpod and Bloc, implementing lazy loading, caching strategies, and widget tree restructuring

Projects

Things I've Built

🔍
GitHub

Automated Job Tracking Platform

Multi-tier data pipeline processing 8,000+ job postings weekly from 6+ platforms. 9-stage validation with fuzzy matching, visa filtering, and location normalization across 400+ cities. 98% accuracy.

PythonSeleniumREST APIsGoogle SheetsAutomation
🧬
GitHub

Thyroid Disease Classification

XGBoost model achieving 97.6% accuracy across 7,200 patients for 3 thyroid conditions. SHAP explainability for clinical interpretability. SMOTE oversampling improved minority class recall from 68% to 93%. Published in Springer.

PythonXGBoostSHAPSMOTEScikit-learn
💻
GitHub

DSA Solutions Repository

Active DSA preparation in Java organized by data structures and algorithms. Covers arrays, trees, graphs, dynamic programming, and more with optimized solutions.

JavaAlgorithmsData StructuresLeetCode
GitHub

Blockchain Crowdfunding Platform

Blockchain-based crowdfunding merging private and community projects with secure, transparent transactions. Smart contracts govern fund flows for campaign management.

SolidityReactHardhatEthers.jsWeb3

Research

Published Work

Springer · March 2024

Classification and Diagnosis of Thyroid Disease Using XGBoost and SHAP

XGBoost classification model for 3 thyroid conditions with SHAP-based explainability. Identified TSH, T3, and T4 as primary diagnostic indicators (65% combined importance). Applied SMOTE to address 3:1 class imbalance, improving minority class recall from 68% to 93%.

97.6%Accuracy
7,200Patients
Read Paper →

Technical Skills

Technologies I Work With

Languages

JavaPythonC++CJavaScriptTypeScriptSQLPL/SQLShell/BashRSolidityDartHTML/CSS

Backend & APIs

Spring BootNode.jsExpress.jsFlaskFastAPIFlutterReact.jsREST APIsSOAPJWTMicroservices

Cloud & DevOps

AWS EC2AWS ECRAWS ECSAWS SageMakerDockerKubernetesGitLinuxCI/CDSoapUI

Databases

OracleMySQLPostgreSQLMongoDBFirestoreRedisDynamoDB

Data Science & ML

TensorFlowPyTorchScikit-learnXGBoostHuggingFaceLangChainSHAPPandasNumPyMatplotlibSeabornTableau

Testing & Practices

JUnitMockitoSeleniumPostmanSwaggerTDDAgile/ScrumSystem DesignSOLIDDesign PatternsOOP

Education

Where I Studied

Masters of Science in Computer Science September 2025 – May 2027

Northeastern University — Boston, MA

CGPA: 3.83 / 4.0

Relevant Coursework

Distributed Systems Algorithms Web Development Database Management Systems Machine Learning Natural Language Processing
Bachelor of Technology in Computer Science and Engineering October 2020 – November 2023

Maharashtra Institute of Technology–World Peace University — Pune, India

CGPA: 9.53 / 10

Relevant Coursework

Data Structures Operating Systems Software Engineering Artificial Intelligence Computer Networks Probability & Statistics