name: Siddharth Nashikkar
role: Software Engineer · 4+ years
focus: Full Stack · iOS · AI Systems · Cloud
school: MS Software Engineering Systems @ Northeastern (Dec 2026)
research: 3 published papers (ML)|
Software Engineer & Project Lead Sole engineer owning the full stack of a HIPAA & CCPA-compliant digital health platform. Built cross-platform mobile app in React Native, scaled Android from 1K → 20K+ devices, architected secure AWS infrastructure, integrated Shopify storefront, and built a clinical dashboard with React.js & Strapi. Reduced customer-reported bugs by 86%. |
Senior Software Engineer Led development of a Tax Accelerator integrating Oracle ERP Cloud with Vertex O-Series. Built one-click customer onboarding (multi-week → instant), onboarded 5 enterprise clients. Engineered 100+ scalable REST APIs with Spring Boot microservices and React/Redux Saga frontend. Boosted data engineering efficiency by 45% and cut downtime by 20%. |
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Jan 2026 – Present TA for CSYE 6200 (Object-Oriented Design) and INFO 6205 (Program Structure & Algorithms). Grading, code reviews, evaluating design quality, and mentoring students on Java-based coursework. |
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iOS · Spring Boot · Akka AI Agent · GCP Three-service personal finance platform: native SwiftUI iOS app with NeoPop design system, Spring Boot REST backend (Java 17, PostgreSQL, Firebase auth, BIN lookup), and an Akka-based AI agent (Java 21) that polls Gmail and extracts credit card statements using Gemini with Ollama fallback. Deployed to GCP Cloud Run via Terraform with GitHub Actions CI/CD. |
AWS · Terraform · GitHub Actions Automated full AWS provisioning (EC2, RDS, S3, IAM, VPC peering, CloudWatch) with Terraform. Custom AMIs via Packer for AWS & GCP. CI/CD pipeline with GitHub Actions for automated testing, security scans, Docker containerization, and blue-green deployments. Achieved 20% AWS cost reduction. |
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Real-Time Web App · Azure Real-time aurora prediction system with interactive Mapbox globe visualization. Vite React frontend, Node.js backend, MongoDB for geospatial data, hosted on Azure App Service. Handled data for 10,000+ locations, improving prediction accuracy by 15%. |
LLM + Akka Actor Infrastructure LLM-integrated distributed actor system with fault tolerance and clustering. Implements embeddings, tokenization, attention mechanisms, and RAG pipelines with vector and graph databases. Built with Akka actors and Spring AI for scalable AI agent orchestration. |
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ML Research · Published Implemented ML algorithms (KNN, Naive Bayes, Random Forest) to detect 6 types of mental disorders from social network data. Research published in IJRASET (2023). Improved early detection capabilities for potential interventions. |
ML Research · Published SVM & Linear Regression model achieving 86% accuracy in predicting inflation rates. Visualized yield curves using Matplotlib for economic forecasting. Research published in IJRASET (2023). |
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IoT + Mobile · Published Built prototype hardware system using Arduino and IR Sensors for dynamic traffic signal control. Developed companion Android app showing real-time signal status. Improved traffic flow efficiency in unplanned city areas. Published in IJRASET (2023). |
JavaFX · PostgreSQL · MVC Personal finance tracking app with expense logging, budget alerts, and interactive pie chart visualizations for category-wise spending analysis. Built with JavaFX, PostgreSQL, and encrypted authentication. Delivered as a fully tested, scalable desktop application. |
| # | Title | Venue | Year |
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| 1 | Recession Prediction using SVM and Linear Regression | IJRASET | 2023 |
| 2 | Social Network Mental Disorders Detection | IJRASET | 2023 |
| 3 | Traffic Signal Synchronization and Dynamic Control | IJRASET | 2023 |
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