Krish Ranjan

Experience

Where I've worked

Software Engineering Intern

Jun 2026 — Aug 2026

Morgan Stanley — New York City, New York

Developed an end-to-end agentic AI system for derivatives regulatory reporting using Python and AWS Bedrock to consolidate scattered enterprise sources and reduce manual investigation time by up to 4x
Implemented a centralized and self-updating knowledge base that automatically discovers dependencies across reporting flows, code, database logic, HALO rules, and regulatory documents
Enabled natural language investigation of regulatory reporting through knowledge base querying and automated gap analysis, identifying discrepancies between regulatory rules and implemented logic 3x faster
Automated impact analysis and remediation for new products and production issues by identifying affected reporting logic, creating Jiras, updating HALO rules, and modifying code

Software Engineering Intern

May 2025 — Aug 2025

The Coca-Cola Company — Atlanta, Georgia

Developed a full-stack visualization platform that enhanced manufacturing performance visibility for 12 plants
Implemented front-end dashboards in Grafana and Power BI to provide live access to manufacturing associates around the world
Migrated the back-end from InfluxDB to Microsoft Fabric and optimized the data schema to improve query speed by 70%
Trained TensorFlow models on historical data to identify anomalies by comparing predicted sensor values to live data

AI Research Intern

Jun 2021 — May 2024

Prasath Lab — University of Cincinnati, Ohio

Co-authored peer-reviewed paper published in Computers in Biology and Medicine (2025), benchmarking HEp-2 cell segmentation methods from traditional models to deep learning approaches
Performed literature reviews, data cleaning, and applied transfer learning to train and compare computer vision models such as Xception, ResNet, EfficientNet, and MobileNet
Researched methods to segment diatom algae to indicate water quality, segment HEp-2 cells from IF imaging, and classify brain hemorrhage from CT scans, achieving dice scores of 0.84, 0.90, and 0.83, respectively

Data Analytics Intern

Jun 2023 — Aug 2023

Clairity, Inc. — Austin, Texas

Contributed to the deployment of an AI-based breast cancer risk prediction model by analyzing demographic, economic, and healthcare access data of 70+ clinics in the Atlanta area
Recommended 4 clinics and launch strategies that best aligned with Clairity’s mission for product rollout

AI Intern

Jul 2022 — Aug 2023

Mphasis Lab — Ashoka University, India

Interned on Gates Foundation-funded AI research focused on simulating country-level events such as virus spread
Implemented a JavaScript data pipeline to automate collection and formatting for 640 Indian districts, reducing manual preprocessing time by 90% and enabling scalable input generation for simulation models
Built Python visualization tools to model synthetic population movement and density, supporting validation of model outputs

Skills

Java Python SQL Rust JavaScript C++ HTML

Spring Framework Django Node PostgreSQL MySQL MongoDB Microsoft Fabric

Keras TensorFlow AWS Bedrock REST APIs Grafana Power BI Git GitHub Vercel

Education

Georgia Institute of Technology

May 2028

Bachelor of Science in Computer Science — Atlanta, Georgia

GPA: 3.91/4.0

Relevant Coursework: Systems and Networks, Computer Organization & Programming, Data Structures & Algorithms, Discrete Math

Projects

Java, PostgreSQL, Spring, APIs, JSON, Nginx, Cloud Hosting

Developed a full-stack bot used by 100,000+ lifetime users across 8,000+ communities of the Hypixel Skyblock game
Tracked and displayed 1,000+ real-time statistics via Hypixel API, automated administrator tasks, and analyzed in-game economy

Rust, PostgreSQL, APIs, JSON, Cloud Hosting

Built a high-performance Hypixel API facade to efficiently aggregate statistics and detect trends using the in-game economy
Leveraged multithreading to parse and store 50,000+ data points in under 1 second to a PostgreSQL database

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