Learn to finish the whole loop
Small automation, API, and data projects taught me to carry an idea from input to a result someone could actually use.
ATISHAY
The systems engineer.That's Atishay.
02 Featured
systems
systems
08 Public
builds
builds
Atishay Jain / Computer Engineering Atishay Jain / AI + product systems
AI Systems,
Applied
Differently.
● Practical◆ Reliable△ Systems-minded✦ Product-aware■ Evidence-led
I turn models, APIs, state, and interfaces into complete workflows with explicit fallbacks and honest limits.
Proof anchors Scroll to follow the build pathProjects (&)
How I'm Improving
Each project added a harder problem: first finishing the tool, then connecting the system, then making its behavior reliable.
Move beyond isolated screens
The Loop and Hybrid forced me to connect interfaces with persisted state, collaboration, routing, and explicit fallback paths.
Make AI behavior deliberate
RAG, resume tailoring, and Mahoraga moved me from calling models to designing retrieval, routing, memory, reward signals, and evaluation.
Harden what ships
My current work is tightening contracts, tests, deployment, failure recovery, and evidence instead of stopping when the happy path works.
Selected work Built to perform,
Built to perform,
made to be inspected.
Three focused systems. Scroll to move through real product views, the decision behind each build, and the proof that exists.
01/ 03
Proof on file: Environment and reward loop FEATURED / PROTOTYPE
Mahoraga
Adaptive enemy behavior shaped through environment rules and reward signals.
What I learnedReward design is system design: environment rules, pressure, and failure modes shape behavior as much as the model.
Proof on file: Routing and memory flow FEATURED / LOCAL AI SYSTEM
Hybrid GenAI Transaction Categorizer
Categorize transactions without making the LLM the default path.
What I learnedUncertainty should be routed, not handed to the largest model by default.
Proof on file: Workflow and system diagrams FEATURED / PRODUCT SYSTEM
The Loop
Connect event discovery, interest context, RSVP, social coordination, chat, and carpool planning.
What I learnedA product becomes useful when discovery connects to persisted coordination workflows.
What
You Get?
and combined—turninguncertaintyintoausefulproductexperiencethatfeels
01 Foundations
Learned to reason from algorithms, data shape, and query structure before reaching for frameworks.
C++/DSA / ML basics / SQL foundations
02 Product Engineering
Learned that useful products connect discovery to persisted coordination, not isolated screens.
The Loop
03 AI Systems
Learned to route ambiguity through rules, local inference, memory, and fallback paths.
Hybrid GenAI Transaction Categorizer
04 Adaptive Systems
Learned that environments, reward signals, and evaluation limits shape agent behavior.
Mahoraga
05 Current Direction
Applying those lessons to clearer contracts, validation, and production-minded workflows.
ReceiptSplit / AI workflow systems
Working set Tools
Tools
That Deliver
The stack changes with the system. These are tools traced back to real project work—not a wall of self-rating badges.
01
Languages
05 tools PythonTypeScriptJavaScriptC++SQL
02
Frontend
06 tools ReactNext.jsAstroViteTailwind CSSshadcn/ui
03
Backend / APIs
05 tools FastAPINode.jsREST APIsWebSocketsUvicorn
04
AI / ML
07 tools ONNX RuntimeDistilBERTQwen2.5 GGUFllama.cppPyTorchGymnasiumLoRA
05
Data / Databases
04 tools PostgreSQLSQLiteSupabaseSQLAlchemy
06
DevOps / Deployment
04 tools DockerGitHub ActionsGitHubRender
07
Product Systems
06 tools Auth/JWTRealtimeOCR pipelinesUPI deep linksMapsRecommendations
Capabilities are shown through the projects that made them real—not detached keyword claims.
AI systems architecture
Mahoraga / Hybrid Categorizer / AI Resume Tailoring Engine
Product engineering
The Loop / ReceiptSplit
Automation
Resume Engine / Webcam Motion Alert / Music Web Scraper
Data and ML foundations
Minimal RAG / Global Super Store / Fast and Curious / Linear Regression
Full-stack implementation
The Loop / Hybrid Categorizer / ReceiptSplit
C++/DSA foundations
Coursework and resume signal
ATISHAY ®
Contact Got a system
Got a system
worth building?
For software, AI systems, or product engineering opportunities, inspect the work and use the direct path that fits.