Jainam Kashyap
Honors Computer Science student at Drexel University specializing in cloud engineering, full-stack development, and cybersecurity. Building scalable solutions and innovative systems that make a difference.
About Me
Building the Future of Technology
I'm a passionate Honors Computer Science student at Drexel University with a 3.83 GPA, expected to graduate in June 2026. My journey in tech has been driven by a deep curiosity for solving complex problems and building innovative solutions.
I recently completed my role as a Software Engineer at Apollo Global Management (June 2023 - September 2025), where I built unified trade infrastructure and enterprise authentication systems that served thousands of users. Previously, I worked as a Cybersecurity Analyst at Bristol Myers Squibb, focusing on third-party risk management and threat detection.
Beyond academics, I'm deeply passionate about financial markets and spend significant time studying market trends, investment strategies, and economic theories. I also serve as a Tutoring Assistant, helping 55+ students master computer science fundamentals. In my free time, I enjoy building projects that combine my interests in technology and finance.
Tech Stack
Languages
Cloud & DevOps
Security
Databases
Frameworks
Tools
Projects
A collection of projects showcasing my expertise in cloud engineering, full-stack development, and cybersecurity
Bloomberg Corporate Event Management Platform
Developing modern, intuitive event management interface using React and Material UI with NoSQL database integration for earnings calls and AGMs along with AI integrations for event analysis.
Vida AI - Cloud Engineering
Spearheaded end-to-end cloud transformation of an AI consulting SaaS platform, architecting and implementing a end-to-end Azure infrastructure with multi-region failover capabilities.
FastAPI MCP - Open Source Contribution
Enhanced the FastAPI MCP library by adding cycle detection and performance optimizations for OpenAPI schema resolution. Fixed critical issues with circular references and improved schema processing efficiency.
IoT Threat Detection via BLE
Engineered an IoT security monitoring solution using Rust and C on Raspberry Pi 5, to capture and process BLE syscalls from over 25 concurrent IoT devices to identify anomalous behavior and potential attack vectors in enterprise IoT networks
AI Misconfiguration Detection
Built a machine learning-driven detection system for cloud-native environments using telemetry data from Kubernetes clusters to identify stealthy data breaches.
EchoSphere - TCP Chat Room
Architected concurrent TCP chat room server in Go with thread-safe goroutines and mutex synchronization, scaling to 1000+ concurrent connections.
Experience & Education
Apollo Global Management
Software Engineer - Core Engineering, Investment Engineering
New York City, NY
- Unified firm's trade infrastructure by consolidating downstream processes from 8 Order Management Systems through a trade gateway with Azure and Snowflake, eliminating 5% of data loss
- Built unified Trade MCP service with FastAPI/gRPC providing sub-2-second responses across Apollo's trade lifecycle, eliminating manual processes and saving 100+ hours per week with 99.9% uptime
- Engineered enterprise JupyterHub on AKS with Azure Artifacts, GitHub Copilot, and multi-kernel support through Okta authentication, eliminating local configuration overhead and achieving 100+ user adoption across Data and Investment Engineering teams
Bristol Myers Squibb
Cybersecurity Third-Party Risk Management (TPRM) Analyst
Princeton, NJ
- Managed IT and cyber risks for 450+ suppliers across 60+ countries using in-house Vendor Risk Module for security hygiene and infrastructure, prioritizing high-risk vendors and achieving 46% reduction in third-party risk exposure
- Conducted threat hunting using custom KQL queries in Microsoft Sentinel to analyze 60,000+ log entries across Active Directory and network activity, identifying critical risks by 14%
- Developed custom machine learning model using BERT (uncased) for NLP-based SOC report control mappings, reducing manual workflow by 47% and increasing processing efficiency by 20% while maintaining compliance standards
Drexel University
Bachelor of Science - Honors Computer Science
Philadelphia, PA
- Cumulative GPA: 3.83/4.0
- Concentration: AI/ML, DSA
- Honors Program - Advanced coursework in algorithms, machine learning, and systems design
Additional Involvement
Calibrate - AI Consultant
Consulting for an AI-driven fintech startup focused on youth investment decision-making, developing MVP/go-to-market strategy and technology models for early-stage product launch
Tutoring Assistant
Lead tutor for 55+ students in introductory computer science, covering computational thinking, algorithms, and programming fundamentals
Drexel CyberDragons
Member of Drexel University's cybersecurity club, participating in CTF competitions and hands-on security challenges
Skills & Expertise
A comprehensive overview of my technical skills and proficiency levels
Languages
Cloud & DevOps
Frameworks & Tools
Security & Infrastructure
Databases
Other Technologies
Published Researcher
AICCC 2024 Conference
Innovation Leader
10+ Production Projects
Honors Student
3.83 GPA at Drexel University
Get In Touch
I'm currently open to new opportunities and collaborations. Feel free to reach out!
Let's Connect
Whether you have a question, want to discuss a project, or just want to say hi, I'll try my best to get back to you!
Open to full-time positions starting Summer 2026