I'm Shreyas Khandare.
Software Engineer building full-stack applications & backend systems.
I specialize in full-stack architecture, resilient REST APIs, relational and document databases, and containerized cloud deployment. With hands-on experience in Docker, AWS (EC2 & S3), and Next.js, I take digital products from system design to reliable production code.
Mumbai, India • B.Tech ECS (8.83 CGPA)
About & Experience
I combine a rigorous computer science background with practical software engineering experience. My approach prioritizes system reliability, readable code, and pragmatic architectural decisions.
Full-Stack Development
Crafting modular frontends with React & Next.js while architecting clean, typed backend endpoints using Express and FastAPI.
Data & Cloud Systems
Structuring relational schemas in PostgreSQL and document collections in MongoDB, integrated with Amazon S3 and containerized via Docker.
Engineering Rigor
Consistently practicing Data Structures & Algorithms to analyze time/space complexity, optimize database queries, and write maintainable code.
Work History & Academic Background
SEO Intern
- Conduct technical SEO audits and on-page optimizations, refining meta data architecture and crawlability.
- Manage search performance and site indexing pipelines through Google Search Console.
- Execute targeted link-building strategies and off-page backlink distribution while monitoring key visibility metrics.
Web Developer Intern
- Built a React-based administrative dashboard for digital marketplace asset management and inventory control.
- Engineered a real-time availability toggle for 50+ marketplace assets with optimized state management and API calls.
- Resolved frontend defects, streamlined data fetching, and improved cross-device responsiveness.
- Collaborated with the engineering team on automated build and deployment pipelines using Netlify, AWS EC2, and Amazon S3.
B.Tech in Electronics & Computer Science
- Rigorous coursework covering Data Structures & Algorithms, Relational Databases, Computer Networks, and Operating Systems.
- Graduated with distinction (8.83 CGPA), developing a strong analytical foundation for scalable software development.
Technical Capabilities
Languages, frameworks, databases, and infrastructure tools I use to build and deploy production systems.
Frontend Architecture
5 technologiesComponent systems, responsive layouts, typed state management
Backend & APIs
4 technologiesREST endpoints, auth middleware, request routing, async services
Databases & Storage
3 technologiesSchema design, queries, relational indexing & document stores
DevOps & Infrastructure
4 technologiesContainerization, cloud compute instances, reverse proxying & VCS
Featured Engineering Projects
Production applications, backend architectures, and full-stack systems built with a focus on real user problems, clean APIs, and reliable infrastructure.
| Object Key | Size | Storage Class | Transfer Mode | Access |
|---|---|---|---|---|
| 📄 system-architecture-v2.pdf | 2.4 MB | STANDARD | Client-Direct S3 | Presigned Link |
| 📦 database-snapshot-2025.sql.gz | 64.8 MB | INTELLIGENT_TIERING | Multi-part Signed | Admin Only |
| 📊 user-telemetry-dump.parquet | 14.1 MB | STANDARD | Client-Direct S3 | Presigned Link |
CloudBox — Cloud Storage Platform
Secure direct-to-S3 file distribution with JWT access controls
Engineered to eliminate server-side bandwidth bottlenecks during large file transfers by issuing short-lived Amazon S3 presigned URLs directly to authenticated clients.
- •Role-based access control (RBAC) enforced via JWT authentication middleware.
- •Presigned Amazon S3 URLs for secure client-side PUT and GET operations, bypassing server stream overhead.
- •Relational metadata indexing in PostgreSQL via Prisma ORM for rapid file search and tagging.
- •Containerized with Docker and deployed to an AWS EC2 instance fronted by an Nginx reverse proxy.
"Commercial tenancy exhibits 98% occupancy with a 6-year lease covenant. Risk analysis indicates debt-service coverage ratio of 1.48x, outperforming sector averages."
Asset Simulator — Real Estate Tokenization
Fractional property ledger simulation with AI market commentary
Simulates the financial mechanics of real estate fractional tokenization, allowing investors to evaluate portfolio diversification, yields, and token liquidity models backed by AI risk analysis.
- •Fractional purchase simulation calculating token issuance, dynamic cap tables, and investor portfolio allocations.
- •Administrative dashboard allowing creation, valuation updates, and yield projections for real-estate assets.
- •Integrated Google Gemini API to analyze property fundamentals and synthesize automated investment commentary.
- •Hosted on PostgreSQL (Neon serverless) with high-availability transaction records.
| Order ID | Destination / Coordinate | Meal Type | Status | Dispatch Action |
|---|---|---|---|---|
| #BT-1082 | Train 12138 • Coach B3, Seat 42 | Executive Thali | Dispatched | WhatsApp Alert Sent ✓ |
| #BT-1083 | Andheri East Tech Park, Floor 4 | Monthly Standard | Kitchen Prep | Assign Courier |
| #BT-1084 | Train 22221 • Coach A1, Seat 18 | Jain Special | Confirmed | Queue for 13:45 |
Bhavsar Tiffin — Order Management Platform
Full-stack subscription meal operations & transit dispatch system
A production-ready order and operations management system designed for high-turnover daily meal delivery and train-passenger meal logistics.
- •Custom ordering workflows supporting recurring subscriptions and transit delivery (platform & coach coordinates).
- •Administrative operations console for tracking customer preferences, meal preparation stages, and delivery status.
- •Automated WhatsApp dispatch integration to trigger instant transit notifications and delivery alerts.
- •Built with Next.js App Router, React 19, and MongoDB Atlas with session authentication.
Get in Touch
I am actively looking for software engineering roles and full-stack opportunities. Whether you want to discuss a project, talk about distributed systems, or connect, feel free to reach out.