Hi, I'm

SuryaNarayan

Software Engineer — AI & Backend Systems

Open to Work

A Software Engineer focused on AI and Backend Systems. I combine Computer Vision with robust networking principles to build smart, efficient, and scalable applications.

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Background

The engineer
behind the code

About me

Software Engineer — AI & Backend Systems

A Software Engineer focused on AI and Backend Systems. I combine Computer Vision with robust networking principles to build smart, efficient, and scalable applications.

I enjoy working across the full depth of the stack — from writing backpropagation in bare C to orchestrating multi-agent LLM pipelines. Precision in low-level systems and creativity in high-level AI are the two poles I navigate.

Technical journey
SWE Intern
Arista Networks
May 2024 — July 2024

Worked on FADT-Range enhancements for better network performance and reliability.

Specialisations
Computer Vision
LLM & Agentic AI
Systems Programming
Distributed Systems
Stack snapshot
PyTorch
Deep Learning
Java
Spring Boot
C/C++
Systems
Docker
Containers
Work

Featured
Engineering

Face Recognition project screenshot CV · PyTorch

Face Recognition (Siamese)

A biometric security system using One-Shot Learning with Siamese Networks. Recognizes faces with high accuracy even with limited training data.

Computer Vision PyTorch Biometrics
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Collaboratory Doc Editor screenshot Java · Sockets

Collaboratory Doc Editor

A real-time collaborative text editor with conflict resolution and live sync. Built using Java Networking (Sockets) to handle concurrent user sessions.

Networking Java Distributed Systems
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Neural Machine Translation screenshot NLP · Attention

Neural Machine Translation

An advanced Seq2Seq model with Attention Mechanisms to translate complex sentence structures between languages with context awareness.

NLP Deep Learning Attention Models
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Custom Heap Manager screenshot C · Memory

Custom Heap Manager

A custom implementation of dynamic memory allocation (malloc/free) in C, featuring optimized block coalescing and memory usage inspection.

Systems Programming C Memory Management
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Evalverse Agentic AI screenshot LLM · LangChain

Evalverse (Agentic AI)

A modular multi-agent framework for automated interviews and adaptive assessments. Orchestrates LLMs with voice I/O, strict JSON guarding, and dynamic context retrieval.

LLM Agents LangChain Voice AI Groq
View on GitHub
CloverNet Neural Library screenshot C · Deep Learning

CloverNet (Neural Lib in C)

A lightweight deep learning library built from scratch in C. Implements backpropagation, activation functions, and matrix ops without external ML dependencies.

C Deep Learning Systems Programming
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RSPA Tokenizer screenshot C++ · NLP
Featured — Systems AI

RSPA Tokenizer (Recursive Subword Pruning)

A high-performance tokenizer engine written in C++ that uses branching entropy to discover statistically meaningful subword boundaries. Designed as a faster, morphology-aware alternative to BPE and WordPiece, optimized for low-latency and minimal memory overhead.

C++ NLP Tokenization Entropy-Based Algorithms Systems AI
View on GitHub
Capabilities

Skills &
Technologies

Full toolkit — 11 areas
Python (PyTorch)
Java (Spring Boot)
C / C++ (Systems)
Computer Vision
Networking (Sockets)
NLP (Transformers)
System Design
Docker
Git / GitHub
SQL / NoSQL
Object-Oriented Programming
Systems Programming
Performance Optimization
Memory Management
Concurrency & Multithreading
Linux Systems
Compiler Fundamentals
AI + ML

PyTorch · One-Shot Learning · Siamese Networks · Seq2Seq · Attention Mechanisms · LangChain · Groq · Backpropagation from scratch

Systems

Custom allocators · Memory management · Java Sockets · Distributed conflict resolution · Entropy-based algorithms · Low-latency C++ design

Get in touch

Let's build
something real