Gautam Kanojiya

Software Development Engineer | Machine Learning & Generative AI Engineer | Full-Stack Developer
India

LinkedIn: https://www.linkedin.com/in/not-gautam/

GitHub: https://github.com/Gautam-Kanojiya

LeetCode: https://leetcode.com/u/g6kanojiya/

Email: [email protected]

About Me

I am a software engineer with strong experience in backend systems, machine learning, and generative AI. Currently working at Wells Fargo, I focus on building scalable, secure, and production-grade systems for financial applications.

My interests include system design, AI-driven decision systems, distributed architectures, and full-stack development. I enjoy solving real-world problems in fintech, logistics, and AI research while working in high-impact engineering teams.

Education

Bachelor of Technology – Computer Science Engineering
Netaji Subhas University of Technology (NSUT), Delhi
2021 – 2025
CGPA: 8.55

Skills

Programming & Frameworks
C++, Python, Java, JavaScript, TensorFlow, Flask, FastAPI, Spring Boot

Frontend & Backend
HTML, CSS, Tailwind CSS, React.js, Next.js, Node.js, Express.js

Databases & Caching
SQL, T-SQL, MongoDB, Redis, NoSQL

Cloud & DevOps
AWS (EC2, S3, Route 53), Docker, Jenkins, CI/CD, Microservices

AI & ML
Machine Learning, Deep Learning, Quantum Neural Networks (QNN), NLP, LLMs

Core CS
Data Structures & Algorithms, Operating Systems, DBMS, OOP

Domain Knowledge
Finance, Stock Markets, Options Trading

Experience
Assistant Vice President – Software Development Engineer

Wells Fargo | Hyderabad
August 2025 – Present

Developed credit processing systems using Java, Spring Boot, and REST APIs, improving workflow performance by 29%

Designed and optimized complex SQL queries on large-scale RDBMS systems, achieving 35.3% query optimization

Built Generative AI proof-of-concepts, including an Agentic AI–based Credit Line Application System using LLMs

Ensured scalability, compliance, and seamless integration with enterprise banking systems

Tech Stack:
React.js, Python, TensorFlow, Flask, SQL, Spring Boot, FastAPI, Docker, Jenkins, Microservices, LLMs

Head of Technology

LogixJunction | New Delhi
January 2025 – June 2025

Led an 11-member frontend and backend team to build and scale a B2B logistics platform

Implemented real-time bidding, reducing shipment matching time by approximately 41%

Architected AWS infrastructure with blue-green deployments and Route 53 DNS configuration

Achieved 99.9% uptime and sub-200ms P95 API latency

Tech Stack:
React.js, Tailwind CSS, Node.js, Express.js, Axios, Redis, Socket.io, AWS EC2, Route 53, Twilio

Intern Analyst – Software Engineering Intern

Wells Fargo | Chennai
May 2024 – July 2024

Developed a stock trading platform with real-time buy/sell predictions using technical indicators such as MACD, RSI, VWAP, and EMA

Designed a high-accuracy statistical model with 89% accuracy and enhanced it with deep learning to achieve 92.17% accuracy

Implemented load balancing, caching, fault tolerance, and security for enterprise-grade scalability

Built a responsive frontend with real-time candlestick charts and ultra-low latency APIs (2ms)

Tech Stack:
Python, React.js, Flask, JavaScript, Express.js, MS-SQL, NeDB, WebSockets, TensorFlow

Projects
Diabetic Retinopathy Grading Using Quantum Computing

Developed a hybrid quantum-classical pipeline using a Variational Quantum Neural Network on the IDRiD dataset

Designed entanglement-driven feature encoding with multi-qubit gates for DR grade classification

Achieved 92.14% accuracy on multi-class diabetic retinopathy grading

Tech Stack:
Python, Flask, Node.js, TensorFlow, FastAPI, Docker, Nginx, Jenkins

Repository: https://github.com/shreyansh0242/quantum-classifier

College Commerce – Trading Platform for Students

Built a microservices-based e-commerce platform for students to trade academic materials

Integrated service discovery, real-time chat, notification streaming, authentication, and API gateway

Implemented CI/CD pipelines, containerization, and system monitoring

Tech Stack:
Java Spring Boot, Next.js, SQL, Docker, Jenkins, Kafka, Prometheus, Grafana