Resume
I'M

ADITHYA

SOFTWARE ENGINEER
Adithya Bellamkonda

About Me

My name is Adithya, and I love learning, building, and exploring.

I study CS and Economics at the University of Alabama in Huntsville with a minor in math. I'm currently most interested in Imbedded Systems, Machine Learning, Financial Markets, and reading, and playing the electric guitar. I love talking to people about anything and everything. In my free time, I like to play pool, table tennis, and cook.

  • 🎧 Currently Listening to:
  • Drake
  • Playboi Carti
  • Daniel Caesar
  • Travis Scott
  • SZA
  • Lil Uzi Vert
  • Frank Ocean
  • The Weeknd

Education

University of Alabama at Huntsville

Huntsville, AL

Bachelor of Science in Computer Science, Minor in Mathematics

Relevant Coursework

Computer Science

  • CS 121 - Computer Science I
  • CS 214 - Discrete Mathematics
  • CS 221 - Computer Science II: Data Structures + Algorithms
  • CS 309/309L - Computer Org & Switching Theory + Lab
  • CS 317 - Intro Design/Analysis of Algorithms
  • CS 321 - Intro Object-Oriented Prog Java
  • CS 330 - Artificial Intelligence & Game Dev
  • CS 370 - Intro to Computer Networks
  • CS 413/413L - Intro to Digital Comp Architecture + Lab
  • CS 424 - Principles Programming Language
  • CS 453 - Client/Server Architecture
  • CS 465 Network Security
  • CS 490 - Intro to Operating Systems
  • CS 499 - Sr Project: Team Software Design

Mathematics

  • MA 171 - Calculus I
  • MA 172 - Calculus II
  • MA 201 - Calculus III
  • MA 238 - Appl Differential Equations
  • MA 244 - Intro to Linear Algebra
  • MA 385 - Intro to Probability & Statistics

University of Alabama at Huntsville, College of Business

Huntsville, AL

Minor of Business Administration

Relevant Coursework

Economics

  • ECON 142 - Princ of Macroeconomics
  • ECON 143 - Princ of Microeconomics
  • ECON 340 - Macro Economic Analysis
  • ECON 345 - Micro Economic Analysis
  • ECON 352 - Money and Banking
  • ECON 445 - Applied Game Theory

Activities & Societies

University of Alabama at Huntsville

  • College of Science - Student Ambassador
  • Association of Computing Machinery - Membership Chair
  • Data Science And Ai Club - Vice President
  • ICPC - President
  • Space Hardware Club
  • SASE (Society of Asian Scientists and Engineers) Club

Scholarships & Awards

University of Alabama at Huntsville

  • International Quant Competition - National Level Qualifier
  • College of Science Ambassador - 15 selected out of 1000+ applicants to guide incoming students
  • College of Science CS Ambassador - 1 selected out of 800+ applicants to faciliate CS students and faculty at expos, lectures and new course introductions
  • Merit scholarship
  • IMO Training Camp (0.02%)
  • USACO Platinum
  • ICPC competitor
  • CF rating of 1763 (top 5%)

Experience

Microsoft

Winter 2026Software Engineering Intern
DUTIES & RESPONSIBILITIES
SWE @ IDENTITY AND NETWORK ACCESS (BUSINESS SECURITY)

Susquehanna International Group

June 2025 - Auguest 2025 (Summer 2025)Software Engineering Intern
DUTIES & RESPONSIBILITIES
- Decreased tick-to-trade latency from 180ÎĽs to 120ÎĽs (33% improvement) through lock-free queue implementation and CPU affinity optimization.
- Increased message processing throughput by 2.5Ă— (from 400K to 1M messages/sec) by implementing SIMD vectorization in C++ market data parser.
- Decreased P99 latency variance from 500ÎĽs to 50ÎĽs by eliminating GC pauses and implementing deterministic memory management.
- Profiled and hardened systems across Linux/Windows using perf/VTune, flamegraphs, and sanitizers; eliminated two contention hot spots with lock‑free ring buffers, raised throughput 35%, increased integration test coverage from 55%→85%, and achieved 99.95% weekly SLA
- Implemented P&L attribution system tracking $10M+ daily trading volume across 500+ instruments with <10ms latency.

Roblox

June 2025 - PresentSoftware Development Engineer / QA Engineering (Testing) (Remote)
DUTIES & RESPONSIBILITIES
- Shipped 10+ gameplay features in Lua/TypeScript, boosting DAU by 20% through core battle system updates.
- Built real-time combat and sync logic for 1K+ concurrent users with sub-100ms latency using custom RPC.
- Developed Python-based rollout tooling with latency tracing and integrity checks, cutting deploy risk by 60%.

WorldQuant

March 2025 - PresentQuantitative Research Consultant | converted from IQC 2025
DUTIES & RESPONSIBILITIES
- Delivered 15+ production-ready alphas by researching market microstructure and cross‑sectional factors in Python, resulting in simulated IC of 0.03–0.08 and Sharpe 1.2–2.1 across equities and ETFs.
- Reduced data prep time 70% by building an automated pipeline (yfinance/Quandl/WRDS + SQL), performing survivorship-bias‑free joins, corporate action adjustments, and anomaly checks for 10+ years of daily and minute bars.
- Improved signal robustness by implementing walk‑forward validation and Purged K‑Fold CV, cutting out‑of‑sample performance decay by 35% vs naive splits.
- Increased alpha orthogonality 25% by applying z‑scoring, sector/size/volatility neutralization, and Barra‑style risk factor de‑biasing, leading to more stable portfolio IR.
- Accelerated research iteration 4× by parallelizing parameter sweeps with joblib/Dask on AWS EC2, reducing a 6‑hour grid search to 90 minutes.
- Lowered turnover 18% with execution-aware signal smoothing and volatility scaling, improving simulated net PnL after estimated 5–10 bps costs.
- Enhanced code reliability by adding unit tests and reproducible notebooks (pytest + MLflow), reaching ~85% coverage and one‑click experiment replay.
- Communicated results in weekly readouts to PMs, leading to 3 alphas advanced to paper‑trading and a 60–120 bps quarterly uplift in simulated multi‑alpha composites.

Corvid Technologies

March 2025 - PresentSOFTWARE ENGINEERING INTERN (VERITAS / MDA)
DUTIES & RESPONSIBILITIES
- Built gRPC data pipelines with Protobuf, reducing latency 3× (150ms→50ms) for 1M+ daily messages
- Developed real-time signal simulation tools in C/C++, optimizing sensor propagation pipelines to handle classified workloads with up to 10x spatial fidelity, improving execution time by 35%.
- Automated Linux-based simulations with Bash and CMake, improving cross-platform build consistency through POSIX sockets, reducing average compile times by 25% across heterogeneous HPC environments.
- Designed a modular React/Node.js interface, reducing config time by 50% and supporting 5,000+ sub-second task calls/hour for 10+ users.

Madison CEO

Aug 2023 - May 2024SOFTWARE ENGINEERING INTERN (CRM)
DUTIES & RESPONSIBILITIES
- Implemented 6 decoupled microservices using Java and Python with Spring Boot and Flask, handling 12,000+ daily API requests, leading to a 45% reduction in response latency and a 30% server load decrease.
- Led a 6-member cross-functional team to deploy a key React-Redux feature, boosting platform engagement to 800+ daily active users, and increasing session time by 20% within 60 days.
- Optimized 60+ complex MySQL queries, cutting page load times by 65% and improving database response throughput by 2.8x.

Skills

Projects

01

AI/ML Sentiment-Based Trading Bot

developed a real-time SPY trading bot using FinBERT sentiment scores on financial news, achieving a 22.3% annualized return and Sharpe ratio of 1.42 in backtests over 5 years.

Integrated Hugging Face Transformers, Alpaca API, and Lumibot into a live pipeline with WebSocket-based execution and dynamic risk management, enabling real-time buy/sell automation.

Enhanced strategy evaluation using quantstats-lumi to generate full performance reports, including drawdown analysis, backtest results, win/loss ratio, and monthly returns, streamlining tuning and validation.

Technologies Used: Python, Hugging Face, FinBERT, Alpaca API, Quantstats, Lumibot, yfinance, PyTorch

Github
02

Distributed Task Queuing System

Designed a fault-tolerant distributed job processing system using Go, Redis, and Docker, supporting parallel execution with retry strategies and a DLQ for failed tasks.

Enhanced system with Prometheus + Grafana to track metrics such as queue depth, task success/failure ratios, and worker performance in real time.

Technologies Used: Golang, Redis, Docker, Prometheus, Grafana, PostgreSQL

Github
03

Multi-Threaded Web Server

Implemented a multi-threaded web server in C++ with POSIX Sockets and Boost. Asio is designed to efficiently handle over 100+ concurrent client connections and support dynamic content generation.

Technologies Used: C++, POSIX Sockets, Boost.Asio

Github
04

CueAI (Precision Pool Simulator)

CueAI is a high-fidelity pool simulation app designed to predict cue ball and object ball behavior based on input parameters like shot angle, speed, spin, and table imperfections. It incorporates advanced physics simulations, machine learning calibration, and a simple user interface to provide an interactive and accurate pool shot prediction tool.

Technologies Used: C++, Python, PyTorch, Pandas, Numpy, Scikit-learn, OpenCV, PyQt, ONNX

Github
05

SpringBoot Performance Optimizer Pro

Developing an AI-powered backend tool using Java, Spring Boot, DynamoDB, and ML to boost API performance by at least 30% via real-time diagnostics, schema automation, and CI/CD integration.

Technologies Used: Java, Spring Boot, DynamoDB, Langchain

Github
06

Warp

Developed Warp - A modern, experimental compiler written in Rust that demonstrates advanced programming language concepts. Built from the ground up with a focus on clean architecture and educational value.

Key Features:

- Static type system supporting int, float, bool, string, and void types

- Functions with typed parameters and return types

- Comprehensive semantic analysis and type checking

- Modular design with separate lexer, parser, semantic analyzer, and code generator

- Pseudo-assembly output for educational purposes

Technologies Used: Rust, Compiler Design, Type Systems, AST, Semantic Analysis

Github

Get in Touch with me

Resume

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