Abhinav Singh

I’m a software engineer and AI builder who enjoys turning messy data into reliable workflows. I’ve built automation and dashboards that use LLMs to summarize critical metrics, and I like shipping practical tools that teams can use immediately.

In my internship at Bharti Airtel, I wrote a Pandas-based automation script to generate daily 4G BBH, 24Hrs, 5G, and packet loss reports. I also worked across Mumbai sites to improve Voice DCR and 4G Data Traffic, and I integrated LLMs to automatically summarize key network metrics from daily reporting data.

At Accenture, I focused on application engineering by creating RESTful APIs (Node.js) for an Audit Dashboard, improving data load times by 1.5 seconds. I implemented serverless deployments with AWS Lambda, API Gateway, and S3, and I enjoyed building systems that are fast, maintainable, and cloud-ready.

My projects reflect the same mindset: agentic, end-to-end solutions. I built a UCL final prediction model with a Streamlit interface and an Ollama agentic pipeline using Playwright to scrape and structure UEFA squad statistics, then designed the simulation logic with custom formulas based on xG and tactical data. Alongside this, I’ve earned strong competitive programming results (2000+ LeetCode problems, Meta Hacker Cup 2025 placements) and certifications in Machine Learning from Stanford University and DeepLearning.AI.