Headline

Software Engineer @Oracle | Software(AI/ML) at 2 startups | Lead at E-Cell SRMIST

About

Software Engineer with a track record of building AI-driven systems that solve real operational problems at scale. I'm currently an Associate Application Developer at Oracle Financial Services Software, where I designed an AI-driven Jenkins failure-response system that's used daily by 100+ engineers across 28 teams — cutting incident-response time by 80%. I've also built AI agents that automate the full bug-fix lifecycle (root cause analysis → fix → test → deploy), boosting bug resolution throughput 2-2.5x, and integrated RAG into an internal tool for natural-language search across enterprise banking memos, reducing lookup time by 70-80%. Alongside my full-time role, I'm building ApnaGhr, a three-sided PropTech marketplace platform, from the ground up — architecting a microservice backend (FastAPI, MongoDB Atlas, Apache Kafka, GCP Cloud Run) with real-time WebSocket tracking and a React + Capacitor mobile app. It's given me end-to-end ownership experience: system design, infra, auth, and shipping to production. My background spans ML/AI (PyTorch, TensorFlow, NLP), backend engineering (Java, Spring Boot, Python, FastAPI), and cloud infrastructure. I graduated from SRM Institute of Science and Technology with a 9.26 GPA in Computer Science, and co-authored a paper on AI-based higher education counseling published at ICPCSN 2024 (IEEE Xplore). I'm looking for Software Engineering roles where I can bring this mix of AI systems thinking and hands-on backend/full-stack execution to a team building products at scale.

Location

Bengaluru

AI stack

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Work experience

Software Engineer at Oracle, Jun 2024 - Present · 2 yrs 4 mos, Bengaluru, Working on AI-driven engineering tools and applied ML for Oracle Banking products, focused on cutting manual overhead through intelligent automation. 🔹 Built an AI-powered Jenkins failure-response system, now used daily by 100+ engineers across 28 teams — reduced incident response time from 12–14 hours to just 2–3 hours (~80% faster). 🔹 Automated the end-to-end bug-fix lifecycle with AI agents (root-cause analysis → fix → test → deploy), increasing bug resolution throughput by 2–2.5x (SEV3: 1→2/day, SEV1: 2→4–5/day). 🔹 Integrated RAG into Memo Insight (Oracle Banking Party Enterprise Management), enabling natural-language search across up to 1,000 memos per user and cutting lookup time by 70–80%. 🔹 Designed and built a Python-based localization engine from scratch, replacing a legacy system, to map multilingual XML data to language codes at scale. Tech Stack: Java, Spring Boot, JavaScript, Python, RAG/LLM pipelines, AI Agents

Machine Learning Engineer at Neur Industries Pvt Ltd, Jan 2023 - Apr 2023 · 4 mos, Chennai, Tamil Nadu, India, Worked as a Machine Learning Intern at AIWIZ Industries, a meta-edtech startup focused on training people for corporate jobs using VR technology Was part of a dedicated team committed to helping thousands of individuals acquire the skills needed for success in the corporate sector Had an incredible experience at AIWIZ, with the office environment providing constant inspiration for innovation and growth Developed and applied my skills in machine learning, contributing to the company's efforts to use cutting-edge technology to enhance the learning experience Grateful to the AIWIZ team for providing me with the opportunity to showcase my abilities and make a meaningful impact in the industry.

Back End Developer and Machine Learning Engineer at fleksa, Oct 2022 - Dec 2022 · 3 mos, Chennai, Tamil Nadu, India, --> Machine Learning Engineer at Fleksa, specialized in backend development and AI technologies. --> Developed a web scraper for food blogging websites, extracting valuable data. --> Utilized Dalle-2 API to generate visually appealing images, enhancing user experience. --> Supported Fleksa's mission as a service provider for restaurants in Germany. --> Automated data retrieval and image generation processes, improving efficiency. --> Integrated AI-driven solutions for enhanced functionality and business growth.

Team Lead Manager at E-Cell, SRMIST, Apr 2022 - Nov 2023 · 1 yr 8 mos, Chennai, Tamil Nadu, India, Very happy to share that I have been promoted as the Team Lead of E-cell SRMIST. What a great Experience it will be. • Team Lead at E-Cell SRMIST, responsible for coordinating and leading the team • Working closely with startup founders, providing guidance and support • Facilitating connections between startups and mentors for valuable guidance • Organizing workshops and training sessions on entrepreneurship • Conducting hackathons and competitions to foster innovation • Calling for sponsors and securing funding for E-Cell initiatives • Managing and developing a high-performing team • Seeking collaborations and partnerships with external organizations • Planning and executing various entrepreneurial events • Committed to continuous learning and self-improvement.

Education

Bachelor's degree, Computer Science, SRM IST Chennai

Schooling, St. Joseph's Convent Sen Sec School - India

Public links

github: https://github.com/ArjunDevSingla