Jainam Kashyap
Drexel University Honors Computer Science graduate working as a Software Engineer at Apollo Global Management, building cloud infrastructure, full-stack applications, and multi-agent AI systems.
About Me
Building the Future of Technology
I'm an Honors Computer Science graduate of Drexel University with a 3.85 GPA. I'm drawn to problems at the intersection of distributed systems, cloud infrastructure, and applied AI.
I currently work as a Software Engineer at Apollo Global Management, where I modernize legacy trading infrastructure and build trade services for Credit Engineering's trading desks, including an MCP-based service that lets AI agents interact directly with the trade lifecycle. I also completed my Senior Design Capstone as a Software Engineer Contractor at Bloomberg L.P., building a cloud-native corporate events data platform.
Beyond work, I build low-latency trading systems and multi-agent AI applications in my free time. During my time at Drexel, I also served as a Teaching Assistant, instructing 200+ students across programming, networking, and cloud-native platform engineering courses.
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
Sequitur - Low-Latency Market-Making Research
Built a single-writer sequencer in C++ using Aeron over shared-memory IPC to merge concurrent order streams into one gap-free, globally-ordered sequence, then recalibrated the Avellaneda-Stoikov market-making model with empirically measured, non-Poisson order-arrival data.
Maverick - Systematic Options Trading & Arbitrage Engine
Built an end-to-end derivatives trading system integrating the IBKR API for live options data and Databento for historical datasets, computing Black-Scholes prices and Greeks to generate and backtest multi-leg options strategies.
Iceman - Quantitative Asset Allocation System
Implemented a long-only mean-variance optimization engine solving convex allocation problems via the Frank-Wolfe algorithm, paired with a transaction-cost-aware backtesting framework using dynamic rebalancing and rolling-window covariance estimation.
Bloomberg Corporate Events Data Platform
Engineered a cloud-native corporate events data platform with a dual-datastore architecture: DynamoDB for low-latency operational state and PostgreSQL (JSONB, GIN indexing) for immutable, point-in-time-traceable audit trails.
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
Experience & Education
Apollo Global Management
Software Engineer (Analyst) - Investment Engineering
New York, NY
- Modernize a legacy cash-management app from Java 8/Spring Boot 1.5 to Java 21/Spring Boot 3.x on AKS, and harden a multi-source investment pipeline (internal systems, Snowflake, SFTP) for Credit Engineering's 4 trading desks
- Unified firm's trade infrastructure by consolidating downstream processes from 3 Order Management Systems through a trade gateway using Azure EventHub and Snowflake, reducing settlement latency by 61% and eliminating 92% of data loss
- Built unified Trade MCP service using FastAPI and gRPC, delivering sub-2-second responses across Apollo's trade lifecycle and saving each user 6+ hours daily by eliminating fragmented API calls and manual processes
Bloomberg L.P.
Software Engineer, Contractor - Senior Design Capstone
Philadelphia, PA
- Engineered a cloud-native corporate events data platform using Next.js, TypeScript, FastAPI, AWS Lambda, and API Gateway, supporting ingestion of 1000+ structured financial event records during earnings cycles with strict schema validation
- Designed a dual-datastore architecture using DynamoDB for low-latency operational state and PostgreSQL (JSONB, GIN indexing) for immutable audit trails, enabling sub-second querying and full point-in-time traceability of event state transitions
- Built scalable backend validation and normalization pipelines using typed request models and centralized schema enforcement, reducing malformed payloads and improving consistency across concurrent workflows involving earnings calls, AGMs, and corporate announcements
Drexel University
Bachelor of Science - Honors Computer Science, Minor in Mathematics
Philadelphia, PA
- Cumulative GPA: 3.85/4.0
- A* Award (2026) recipient and Upsilon Pi Epsilon (UPE) inductee
- Honors Program - Advanced coursework in algorithms, machine learning, and systems design
Additional Involvement
Calibrate - AI Consultant
Built a data-driven LP intelligence pipeline using Python and NLP-based classification (BERT embeddings), transforming 600+ investor records into a prioritized lead-scoring workflow and reducing manual research time by 40%
Vocation Capital - Consultant
Developed quantitative segmentation and investor-fit scoring models using statistical analysis and evidence-based signals, supporting capital raise efforts toward a $25M seed-round venture fund
Teaching Assistant
Instructed 200+ students across CS150, CS472, CS463, and CS545, reinforcing algorithms, distributed systems, and scalable API-based infrastructure concepts
Drexel Consulting Group
E-Board Project Lead for the Venture Advisory Program and Financial Institutions Group
Skills & Expertise
A comprehensive overview of my technical skills and proficiency levels
Languages
Cloud & DevOps
Frameworks & Tools
Security & Infrastructure
Databases
Machine Learning
Other Technologies
Published Researcher
AICCC 2024 Conference
Innovation Leader
8 Production Projects
Honors Graduate
3.85 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!
Currently a Software Engineer at Apollo Global Management — open to consulting, research, and side-project collaborations