SYSTEM.LOG / INTRO

Software Engineer · Full Stack · AI / ML

UTKARSH KISHORE

“Ship systems that stay calm when the world gets loud.”

I build scalable full-stack products and intelligent features end to end—from APIs and data models to interfaces people actually use. M.S. Software Engineering @ Arizona State University (Summer 2026).

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SYSTEM.LOG / PROFILE

About & focus

I like turning fuzzy requirements into working software—clean APIs, predictable deployments, and UIs that don’t fight the user. Most of my work sits at the intersection of web platforms, cloud infrastructure, and applied ML.

ARCHITECT

Distributed systems, APIs, performance

PRODUCT

Iteration, UX clarity, measurable impact

ML_EDGE

CV, deep learning, LLM integration

SYSTEM.LOG / EXPERIENCE

Career chronicle

Professional roles & impact

ROLE_01

Jan 2026 – Apr 2026

Full Stack Developer Intern

Aligned Rewards

Built features across the stack in an agile team—five sprints delivered on time. Integrated multiple REST APIs and tightened frontend data flow, reducing manual handling steps by roughly 60%.

  • REST API Integration
  • Frontend Development
  • Agile / Scrum
  • Full Stack
  • LLM Integration
  • Cross-functional Collaboration

SYSTEM.LOG / ACADEMIC_RECORD

Education path

Degrees & coursework

Graduate

Arizona State University

Tempe, AZ · Aug 2024 – May 2026

Master of Science in Software Engineering

Advanced coursework in scalable distributed systems, cloud-native architectures, AI-driven software development, and formal verification.

  • Advanced DSA
  • Software V&V
  • Cloud Computing
  • AI for Software Engineers
  • Game Programming
Undergraduate

SRM Institute of Science and Technology

Chennai, India · Sep 2020 – Jun 2024

Bachelor of Technology in Computer Science and Engineering

Foundation in computer science, algorithms, machine learning systems, and full-stack development; multiple industry-scale projects with a performance focus.

  • Data Structures
  • Algorithms
  • OOP
  • Frontend Development
  • Data Visualization
  • Machine Learning

SYSTEM.LOG / PROJECTS

Selected work

PROJECT_INFO_01

Research · IEEE

Plant Disease Detection

CNN-based identification and classification with advanced image processing.

  • Dataset: 3,000+ augmented images
  • Accuracy: 98% on test set
  • Model: VGG16 + ReLU / BatchNorm
  • Published: IEEE, Apr 2024
[ OPEN_REPO ]
PROJECT_INFO_02

Cloud · DevOps

Feature Flag Platform

Enterprise feature flags, canary releases, and environment-based rollouts.

  • Stack: Next.js, NestJS, PostgreSQL, Redis
  • APIs: 15+ endpoints, JWT, rate limits
  • Infra: AWS ECS Fargate, Terraform, GHA
  • Latency: Sub-50ms evaluation
[ OPEN_REPO ]
PROJECT_INFO_03

Deep Learning · OpenCV

Hand Gesture Communication

Real-time ASL-oriented gesture recognition to text and speech.

  • Model: TensorFlow CNN ~97%
  • Video: OpenCV inference
  • Latency: <100ms / frame
[ OPEN_REPO ]
PROJECT_INFO_04

MERN

BlogDaily

Performance-focused blogging platform with SEO and discovery.

  • Frontend: React + Tailwind
  • Backend: Node + Express
  • DB: MongoDB, search & tags
[ OPEN_REPO ]
PROJECT_INFO_05

AI · Next.js · FastAPI

ResQChain

Multimodal food freshness analysis and surplus routing.

  • Stack: Next.js, FastAPI, MongoDB, Gemini 1.5
  • Accuracy: 96% freshness scoring
  • Inference: Sub-2s with Base64 streaming
[ OPEN_REPO ]

TECHNICAL_ARCHIVE / 2026

Tech stack

TSJSPYJAVARUST REACTNEXTNODENESTEXPRESS POSTGRESMONGOREDISGRAPHQL AWSDOCKERK8STERRAFORMGHA TFPYTORCHCVLLMREST

SYSTEM.LOG / DOMAINS

Depth by area

Languages & frameworks

JavaScript, TypeScript, Python, Java, C++, Rust · React, Next.js, NestJS, Node.js, Express, FastAPI

Databases & data

PostgreSQL, MongoDB, Redis, DynamoDB · GraphQL, REST, Elasticsearch

DevOps & cloud

AWS (EC2, S3, Lambda, ECS), Docker, Kubernetes, GitHub Actions, Terraform, CI/CD, Nginx, Linux

AI & ML

TensorFlow, PyTorch, OpenCV, scikit-learn, LLMs, multimodal AI, computer vision, NLP

Tools & practice

Git, GitHub, VS Code, Vim, Jest, Pytest, documentation, system design, microservices

Certifications

  • Machine Learning Specialization – Stanford (Andrew Ng)
  • Analyzing Big Data with SQL