Hi, I’m
Keshav Dalmia
Champaign,IL
Summary
Experienced engineer and MSBA candidate with expertise in AI/ML, backend engineering, and product analytics. Successfully delivered scalable microservices for over 10,000 concurrent claims and developed machine learning solutions using TensorFlow and XGBoost. Actively researching multi-agent AI systems and contributing to open-source projects. Proficient in Python, C++, Scala, SQL/NoSQL, microservices, vector databases, and cloud platforms like AWS and Azure.
Overview
4
years of professional experience
Work History
University of Illinois Urbana-ChampaignIL, IL
Graduate Research Assistant
10.2025 - Current
Job overview
- Collaborated with Prof. Vishal Sachdev to develop multi-agent AI systems for student engagement.
- Facilitated project meetings to assess progress and share insights among team members.
- Contributed to experiment design, study protocols, and data collection methodologies.
- Developed code architecture from inception to support project objectives.
SapiensBengaluru, India
Associate Developer
08.2023 - 07.2025
Job overview
- Developed core modules in C++ to enhance insurance workflows.
- Led backend architecture for ClaimsPro utilizing Scala and C++.
- Implemented asynchronous processing for over 10,000 concurrent claims.
- Applied microservices and event-driven architecture to improve maintainability.
SapiensBengaluru, India
Associate Developer Intern
01.2023 - 08.2023
Job overview
Contributed to ClaimsPro project as sole intern responsible for backend development.
Tech MahindraRemote, Remote
SDE Intern
05.2022 - 07.2022
Job overview
- Built backend microservices using Spring Boot and Java.
- Collaborated with global teams to scale AIOPS tool.
- Integrated AI-driven incident prediction for digital supply chains.
- Remote
Education
University of Illinois Urbana-ChampaignChampaign, IL
Master of Science from Business Analytics
05-2026
Vellore Institute of TechnologyVellore
Bachelor of Technology from Computer Science & Engineering
01.2023
University Overview
GPA: 3.43/4.0
Skills
- C and Java
- Python and JavaScript
- Backend frameworks (Spring Boot, Nodejs)
- Machine learning
- SQL and PostgreSQL
- MongoDB and vector databases
- Version control and containerization (Git, Docker)
- Project management and problem-solving
- Team collaboration and software development
Extracurricular Activities
CSR Member, Sapiens, 01/01/24, Present, Built Smart Bus Station with IoT features. Volunteer, Riviera Carnival - VIT, 2020, Managed logistics for 38k+ participants. Volunteer, Gravitas Tech Fest - VIT, 2019, Coordinated 5 technical events.
Projects
Stock Trader | AI-Based Trading App (2023) – Python, Microservices, ChatGPT
- Developed an AI-driven trading application integrating ChatGPT for automated market analysis, trade recommendations, and portfolio insights.
- Engineered a microservices architecture to scale data pipelines, model inference, and user interactions, improving system reliability and performance.
- Implemented real-time data processing and signal generation to support faster and more accurate trading decisions.
VistaraX – B2B Marketplace Backend (2021) – Node.js, MongoDB
- Designed and built a secure backend system for a multi-vendor B2B marketplace using Node.js and MongoDB.
- Implemented APIs for vendor onboarding, product management, order processing, and authentication.
- Platform selected for incubation at VITTBI, validating its technical feasibility and market potential.
Stonks Bot – Discord Stock Tracking Bot (2022) – Python, Web Scraping, SQLite
- Created a Discord bot for real-time stock tracking, portfolio management, and automated financial alerts.
- Built web scraping pipelines to fetch live market data and historical prices, improving data accuracy and freshness.
- Integrated SQLite for lightweight, persistent storage of user preferences and portfolio performance metrics.
Credit Card Fraud Detection (2020) – Python, Scikit-learn, TensorFlow
- Developed a fraud detection model using SMOTE, Random Forest, and XGBoost to address severe class imbalance.
- Achieved improved precision and recall by tuning ensemble models and optimizing feature engineering workflows.
- Automated the ML training and evaluation pipeline using Scikit-learn and TensorFlow for reproducible model performance.
Certifications Courses
- Azure Fundamentals, Microsoft, 2023
- AWS Cloud Practitioner, Amazon, 2021
- Machine Learning, Stanford, Coursera, 2020
- Business Decision Making & Predictive Statistics, Independent Learning
Open Source Contributions
- QuantConnect Lean, 2023, Optimized trading engine in C# and Python.
- CNCF Buildpacks, 2023, Improved container tooling in Go.
Timeline
Graduate Research Assistant
University of Illinois Urbana-Champaign
10.2025 - Current
Associate Developer
Sapiens
08.2023 - 07.2025
Associate Developer Intern
Sapiens
01.2023 - 08.2023
SDE Intern
Tech Mahindra
05.2022 - 07.2022
University of Illinois Urbana-Champaign
Master of Science from Business Analytics
Vellore Institute of Technology
Bachelor of Technology from Computer Science & Engineering