Open to high-ownership engineering internships

I made English executable.

I’m Jaya Ram Reddy, creator of UNEL—a natural-English programming language with its own compiler, bytecode VM, standard library, and live playground. I also build applied AI and full-stack systems that move from idea to working product.

Try UNEL Explore the work
GitHub LinkedIn Email
01 Jaya / systems builder
Jaya Ram Reddy wearing a blazer
Based in Visakhapatnam, India AI · compilers · product
narrative.unel UNEL / 01 
Set greeting to "Hello from UNEL".

If greeting is not empty:
    Display greeting.
End if.
OUTPUT Hello from UNEL
English → bytecode Python language core
3syntax dialects
2execution engines
1shared syntax tree
16standard-library modules
Compiler design✦ Applied AI✦ Real-time systems✦ Full-stack engineering✦ Research

01 / Selected work

Proof over promises.

One original programming language, a live campus platform, and a wider project atlas spanning AI, health, energy, security, translation, and games.

Flagship project2025—26

Universal Natural English Language

UNEL

A complete language stack designed around one idea: code should read the way people think.

Built from scratch in Python with a hand-written lexer, three dialect parsers, a unified AST, static analysis, a three-pass optimizer, dual execution engines, and a browser playground.

  • Tree-walking interpreter for REPL and debugging
  • Stack-based bytecode VM with call frames and jump patching
  • 150+ native functions and actor-style tasks and channels
Open playground Read engineering notes
System map Source → execution
  1. 01
    Natural-English sourceNarrative · Executive · Math
  2. 02
    Lexer + 3 parsersMulti-word token matching
  3. 03
    Unified ASTOne common representation
  4. 04
    Analyze + optimizeTypes · scopes · three passes
  5. 05
    Interpreter or VMTree-walking or stack-based execution
Python language coreTwo execution paths
Inside UNELThe language, the architecture, the tradeoff.
01 / The problem

Readable code. Explicit rules.

UNEL explores English-like programming with a defined grammar. The goal is to make control flow readable while retaining the structure a compiler needs—not to guess the intent of any English sentence.

02 / The decision

Three dialects. One core.

Narrative, Executive, and Mathematical syntax converge on a shared abstract syntax tree. Analysis and optimization work on that common representation, keeping surface syntax separate from execution.

03 / The tradeoff

Two ways to run a program.

A tree-walking interpreter supports inspectable execution; a stack-based virtual machine executes compiled bytecode. Maintaining both paths means keeping their language behavior consistent.

Try it yourself / 5 Sep 2026

One program. Both engines.

A loop that adds 1 through 5 returned The sum is 15 in both the Tree-Walker and Bytecode VM. This is a reproducible example, not a full language-conformance or speed benchmark.

Download the example Run it in the playground 
Set total to 0.
Repeat from 1 to 5 as step:
    Set total to total plus step.
End repeat.
Display "The sum is " plus total.
Actual UNEL playground with the sum example running in Bytecode VM mode and output The sum is 15
Actual playground · Bytecode VM · 5 Sep 2026View full capture
Featured live productAndhra University · 2026

Campus platform / 02

ASLI

One digital front door for campus life.

A Flutter-powered platform that brings university-aware Q&A, the CollX social feed, real-time messaging, events, study groups, announcements, polls, and campus navigation into one student-first experience.

52curated AU answers
LiveSocket.IO delivery
Full stackFlutter to Flask
FlutterRiverpodFlaskSQLAlchemyJWTSocket.IO
Launch ASLI Read engineering notes
AI-enhanced preview of the ASLI demo welcome screen, showing the campus assistant, university topics, and navigation
ASLI · AI-enhanced preview
View original capture
Inside ASLICampus knowledge meets real-time community.
01 / The problem

Campus information is fragmented.

University questions, student conversations, events, and announcements live across different channels. ASLI brings those everyday tasks into a single campus-focused product.

02 / The decision

Curated answers, not guesswork.

The assistant matches questions against 52 curated Andhra University answers using keywords and text overlap. This makes the knowledge base inspectable; its coverage is limited to the questions it contains.

03 / The system

A client and a live service layer.

Flutter and Riverpod organize the client experience. Flask and SQLAlchemy handle application data, while Socket.IO supports real-time messaging and community updates.

Try the demo: the login screen lists sample accounts. The preview above is AI-enhanced from the demo welcome screenshot; the untouched original is linked below it. Messaging and social actions were not tested. The core assistant uses curated retrieval, not a trained language model.

Blockchain / 03Experimental testnet

J-Chain

From a transaction to a chain.

A TypeScript Layer-1 project connecting proof-of-work mining, peer-to-peer networking, persistent Merkle state, and EVM execution—with a web console to explore the network.

TypeScriptP2PEVMLevelDB
Open testnet console Read engineering notes
System layers
  1. 01
    Explore & interactWallet · explorer · governance console
  2. 02
    Connect to the nodeRPC · network status · peer discovery
  3. 03
    Execute & persistEVM · proof of work · Merkle state

Testnet only. Live data requires an available RPC node. Not intended for real-value custody.

Check current network status
Inside J-ChainExecution, persistence, and the boundary of a testnet.
01 / The problem

Connect the whole stack.

Explore how a blockchain's components fit together: peer communication, mining, transaction execution, stored state, and the tools a person uses to inspect them.

02 / The implementation

Execution with persistent state.

The TypeScript project combines proof of work and EVM execution with a persistent Merkle structure and LevelDB storage. The web console is a client of the node, not the network itself.

03 / The boundary

A testnet is a testing ground.

A reachable console does not establish network readiness. RPC availability, independent security review, and operational testing remain separate requirements before any real-value use.

Last checked 5 Sep 2026: the public console loaded, but the node readiness request timed out. J-Chain uses the documedx.space domain; DocumedX is a separate project in the wider collection.

Explore 13 more projects.EmoTunes Pro, All Rise, DocumedX, STYRS, and more across AI, health, energy, and security.Open project collectionCollapse project collection
Applied AI / 04

EmoTunes
Pro

A real-time emotion-aware music experience combining webcam inference, voice control, Spotify playback, an AI playlist layer, and a reactive 3D interface.

Emotion classificationMusic + voice controls
TensorFlowFastAPISocket.IOThree.js
Open live project
Agentic AI / 05

All Rise

A spatial reasoning product that orchestrates parallel expert agents, retrieval-augmented generation, async services, and live SSE updates.

Grounded retrievalStreaming reasoning
RAGSSEAsync APIsAgents
Request walkthrough
Client + academic builds06—07
Client commerce

Gift Bucket Shop

Responsive product customization and checkout experience delivered for a client-facing business.

↗
Data systems · IIT Madras

HN Enterprisers BDM

Operational data model and decision-support workflow for an automobile spare-parts business.

↗

More projects / Explore the collection

The wider build log.

From solar-cell inspection to clinical documentation, career guidance, translation, and multiplayer games—explore the problems I’ve built for.

Explore GitHub
Healthtech · Case studyDX

DocumedX

A doctor-first clinical documentation and medical-learning platform with role-specific workflows, case review, safety checks, audit trails, and FHIR endpoints.

ReactTypeScriptFastAPIFHIR
Request walkthrough
Computer vision · SourceST

STYRS

An AI quality-inspection platform for solar-cell defects, delivered through a web dashboard, REST API, Android workflow, batch analysis, and report exports.

TensorFlowEfficientNetFlaskKotlin
View source
Health + nutrition · SourceTG

TARG

A full-stack nutrition and fitness system for recipe recommendations, health calculations, macro and water tracking, workouts, and meal planning.

FastAPIscikit-learnStreamlitCompose
View source
Career intelligence · SourceNM

Never Mind

A career-guidance product that turns a 20-question skills assessment into ranked IT-role matches, skill-gap insight, and a structured learning roadmap.

ReactDjangoML ensembleCapacitor
Frontend API
Security research · Case studyCY

Cyber Attack Detection

A transparent intrusion-detection pipeline with seven ML/DL models, SHAP analysis, cross-dataset evaluation, a dashboard, and prediction API.

PythonTensorFlowSHAPFastAPI
Request case study
Voice + language · Case studyTR

Translay

A 12-language Indian-language translator spanning desktop, web, and Android-style surfaces with speech input, playback, history, and script validation.

Marian MTWeb SpeechPythonJava
Request walkthrough
Operations · ArchiveYM

Yard Management System

A steel-plant operations app that digitizes truck receipts and dispatches while supporting a customer catalog, cart, and ordering flow.

PHPMySQLJavaScriptBootstrap
Request walkthrough
Travel operations · ArchiveTM

Trek Manager

A role-based trekking operations application for managing treks, staff approvals, trekkers, and booking workflows.

FlaskJinjaSQLiteBootstrap
Request walkthrough
Game systems · PrototypeHD

HIDEEN

An asymmetric multiplayer hide-and-seek prototype exploring network roles, transformation, fear, visibility, capture, and extraction mechanics.

Unity 6C#Photon FusionURP
Request prototype demo
Back to collection Continue to About

02 / About

Research brain.
Product hands.

I work across the stack because ambitious systems rarely fit inside one job title.

Jaya Ram Reddy at Darling Harbour in Sydney
Sydney, AustraliaIAC 2025

I’m a computer science undergraduate and a BS Data Science candidate who likes turning unfamiliar domains into clear, working systems—from programming-language internals to computer vision and space-health research.

Education

B.Tech CSE

Andhra University

Parallel degree

BS Data Science & Applications

IIT Madras

Specialization

Minor in Artificial Intelligence

IIT Ropar

Four internships. See the work behind them.

Experience / 2023—2025

Built with teams.

Full experience in résumé

  1. —

    I&T Labs

    Full-Stack Software Developer Intern · Python

    Contributed to Python applications using Django, FastAPI, REST APIs, and SQL. Worked on backend queries, debugging, refactoring, and feature delivery.

  2. —

    APSSDC

    Web Developer Intern · Django

    Built Django applications with authentication, routing, and database-backed features, using PostgreSQL and session management.

  3. —

    Robocoupler

    Full-Stack Web Developer Intern

    Developed responsive interfaces and RESTful backend components with React and Node.js, working across frontend-to-backend data flows.

  4. —

    Slash Mark IT

    Cyber Security Intern · Virtual

    Practiced vulnerability assessment, security testing, and digital forensics in simulated enterprise environments.

Technical toolkit & leadershipThe tools I use and communities I contribute to.
Languages

Python · Java · C++ · JavaScript · SQL · UNEL

AI / data

CNNs · Computer Vision · GenAI · RAG · Model integration

Product stack

FastAPI · Django · React · Next.js · WebSockets · SSE

Systems

Compilers · ASTs · Bytecode VMs · Docker · Linux · PostgreSQL

Leadership

Vice President, Career Catalyst Forum · Co-Founder, The Brash Jacks Company · technical community and event leadership across Andhra University and IIT Madras.

03 / Research

Earthbound questions.
Zero‑G context.

Two IAC 2025 research projects connecting engineering, human performance, and the practical constraints of space.

IAC 2025 · SydneyPaper 01

Olfactory Odyssey: Cognitive Consequences in Zero‑G

Research into how microgravity-induced olfactory dysfunction can affect memory, decision-making, and astronaut safety—and how electronic-nose biosensing may help.

Space healthCognitionBiosensing
Read paper · PDF
IAC 2025 · SydneyPaper 02

Microgravity-Driven 3D Bioprinting for Vascular Tissue Engineering

A physics-based review of microgravity bioprinting, ISS BioFabrication Facility experiments, tissue mechanics, and the path toward space medical manufacturing.

BioprintingMicrogravityTissue engineering
Read paper · PDF

04 / Contact

Have a hard problem?
Good.

I’m open to AI engineering, compiler and systems work, full-stack product roles, research collaborations, and internships where ownership matters.

Let’s talk by email
Visakhapatnam, India · Remote / hybrid
GitHub ↗ LinkedIn ↗ Résumé ↗