Computer Science Engineering (AI&DS) · SASTRA University

Mithilesh Adhinarayanan

// AI Researcher · Quant · Engineer

Building intelligent systems at the intersection of Deep Learning, Reinforcement Learning, and Quantitative Finance. WorldQuant BRAIN Consultant. IEEE researcher achieving 95%+ forecast accuracy.

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95%+
Forecast Accuracy
Top 30
CMI STEMS India
IEEE
Submitted
WQ
WorldQuant
📍 Hosur, India
Mithilesh Adhinarayanan
SASTRA '28 · AI&DS
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Who I am

AI Researcher &
Engineer

I'm Mithilesh Adhinarayanan, a B.Tech student in Computer Science Engineering (AI & DS) at SASTRA Deemed University, Thanjavur. I'm deeply passionate about the intersection of artificial intelligence, financial markets, and intelligent infrastructure.

My current research focuses on DNN-RL hybrid models for exchange rate prediction — incorporating macroeconomic signals like Crude Oil prices, Gold futures, and NIFTY 50 data. I'm also a Quantitative Researcher at WorldQuant, developing alpha strategies on their BRAIN platform.

Beyond research, I build full-stack AI applications and competed in the Smart India Hackathon 2025 with an RL-based traffic management system. Top 30 India finalist in CMI STEMS 2025 for research aptitude.

GitHub LinkedIn Stack Exchange Freelancer Email
🎓 Education
SASTRA Deemed University
B.Tech · Computer Science Engineering (AI & DS)
Aug 2024 – June 2028 · Thanjavur, TN
Harvard University (CS50)
Web Programming with Python & JavaScript · CS50W
In Progress · Remote
Yale University (Coursera)
Financial Markets Certification
Completed
📍 Location & Contact
Hosur, India
+91 9488694227 · mithilcuber@gmail.com
Expertise

Technical Skills

🧠 AI / ML / Deep Learning
Reinforcement LearningDeep LearningPPODQNMARLNeural NetworksPolicy GradientTensorFlowPyTorchKerasScikit-LearnBackpropagationTime SeriesTransfer LearningModel Optimization
💬 NLP / LLM
Natural Language ProcessingLarge Language ModelsTransformersBERT / GPT ArchitecturesHugging FaceText ClassificationSentiment AnalysisTokenizationEmbeddingsPrompt EngineeringRAGLangChain
👁️ Computer Vision (CV)
Computer VisionOpenCVYOLOCNNsObject DetectionImage ClassificationImage SegmentationReal-time Video ProcessingFeature ExtractionVehicle Detection
💻 Programming Languages
Python (Advanced)Java (Swing/GUI)C++CSQLJavaScript
🌐 Web & Full Stack
DjangoStreamlitFlaskFastAPIReactHTML / CSSMongoDBREST APIs
📊 Data Science & Analytics
NumPyPandasMatplotlibSeabornPlotlyFeature EngineeringData CleaningStatistical AnalysisEDAData Visualization
📈 Quantitative Finance
Quantitative FinanceBRAIN PlatformCustom Expression LanguagesAlgorithmic TradingAlpha ResearchFinancial ForecastingExchange Rate ModelingMacroeconomic AnalysisRisk AnalysisPortfolio OptimizationBacktestingProbability
🔧 Tools & Systems
High Performance ComputingGit / GitHubLinuxJupyter NotebookGoogle ColabVS CodeDockerRaspberry PiDSAAPT DetectionAnomaly DetectionNetwork Security
🧮 Mathematics
Advanced MathematicsProbability TheoryLinear AlgebraCalculusOlympiad MathematicsPhysicsStatistical ModelingProblem Solving
Academic Work

Research Experience

📈
IEEE Submitted
DNN-RL Based Solution for Predicting Exchange Rates
Financial Markets · SASTRA Deemed University · Mar 2026 – Present
Submitted to IEEE. Integrates Deep Neural Networks with policy-gradient RL (PPO) to augment time series models. Incorporates Crude Oil prices, Gold futures, and NIFTY 50 — achieving 95%+ predictive accuracy.
PPODeep LearningTime SeriesMacroeconomicsNIFTY 50IEEE
🔐
Active Research
Advanced Persistent Threat (APT) Detection
Cybersecurity · SASTRA Deemed University · Feb 2026 – Present
Investigating APT detection using deep learning models to analyze network traffic and identify distinct stages of cyber vulnerabilities in enterprise environments.
APT DetectionAnomaly DetectionNetwork SecurityDeep Learning
Work & Roles

Professional Experience

Part-time · 5 mos
WorldQuant
Global Quantitative Investment Firm
BRAIN Research Consultant
May 2026 – Present · 4 mos
  • Developing quantitative alphas using WorldQuant's BRAIN platform and Custom Expression Languages.
  • Applying probability theory and statistical modeling to construct and backtest financial signal strategies.
  • Leveraging data science skills to research and validate alpha ideas across global financial markets.
BRAIN Conditional Consultant
Apr 2026 – May 2026 · 2 mos
  • Researched conditional alpha strategies using BRAIN's expression language and logic-based signal construction.
  • Worked with probability-driven frameworks to evaluate signal quality and market applicability.
BRAIN PlatformCustom Expression LanguagesAlpha ResearchProbabilityQuantitative Finance
Student Researcher — Financial Markets
SASTRA Deemed University
Mar 2026 – Present · Thanjavur, TN
  • Submitted DNN-RL exchange rate prediction paper to IEEE; awaiting peer review.
  • Integrating Deep Learning with PPO policy-gradient RL to augment time series forecasting models.
  • Incorporating macroeconomic variables (Crude Oil, Gold futures, NIFTY 50) — 95%+ accuracy.
PPODeep LearningTime SeriesQuantitative FinanceIEEE
Student Researcher — Cybersecurity
SASTRA Deemed University
Feb 2026 – Present · Thanjavur, TN
  • Investigating APT detection using deep learning models to analyze network traffic.
  • Developing anomaly identification systems to enhance enterprise network security frameworks.
  • Building robust ML models capable of detecting sophisticated, long-term threat actors.
APT DetectionAnomaly DetectionNetwork SecurityML
Freelance AI/ML Developer
Freelancer.in · Self-Employed
2026 – Present · Remote
  • Delivering custom AI/ML solutions and full-stack web applications for clients across diverse domains.
  • Building end-to-end data pipelines, model training workflows, and deployment-ready backend APIs.
  • Integrating intelligent systems into client products using the Django and Python stack.
PythonDjangoML ModelsFull StackAPI Development
Community & Events

Involvements & Activities

🚦
Smart India Hackathon 2025
Government of India
Sep – Dec 2025 · Odisha
  • Developed an RL-based intelligent urban traffic signal control system to minimize clearance time.
  • Integrated OpenCV on Raspberry Pi for real-time vehicle detection and adaptive signal adjustments.
  • Applied MARL and DQN algorithms across multi-intersection environments.
DQNMARLOpenCVRaspberry PiComputer Vision
💬
Stack Exchange Contributor
Stack Exchange Network
Ongoing · Remote
  • Active contributor across Mathematics, Computer Science, and Physics communities on Stack Exchange.
  • Engaging with the global researcher and developer community to solve technical and scientific challenges.
MathematicsComputer SciencePhysicsCommunity
🧩
AOPS – Art Of Problem Solving
AoPS Community
2022 – Ongoing · Remote
  • Active contributor providing comprehensive solutions to difficult math and CS competition problems.
  • Answering student questions in forums and maintaining a collaborative educational environment.
  • Strong foundation in advanced mathematics and Olympiad-level problem solving.
Advanced MathematicsOlympiadProblem SolvingCommunity
Built Things

Technical Projects

01
RL-Based Traffic Management System
Sep – Dec 2025 · Smart India Hackathon 2025
Intelligent urban signal control system minimizing traffic clearance time using Multi-Agent Reinforcement Learning. Real-time vehicle detection via OpenCV on Raspberry Pi with adaptive signal adjustment.
DQNMARLOpenCVRaspberry PiPythonComputer Vision
02
Web-Based AI Applications
Jan 2026 – Present · Web
Full-stack web platforms integrating custom AI/ML-backed solutions. End-to-end systems from data pipelines to interactive user interfaces using the Django Python stack.
PythonDjangoMongoDBML ModelsJavaScriptREST APIs
03
Exchange Rate Forecasting Engine
Mar – Apr 2026 · Research Project · IEEE
End-to-end quantitative forecasting combining DNN architectures with PPO-based RL agents. Processes multivariate financial time series data achieving 95%+ accuracy. Submitted to IEEE.
TensorFlowPPOTime SeriesNumPyPandasFeature Engineering
View All Projects on GitHub
Live from GitHub

GitHub Activity

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Recognition

Certifications & Achievements

🥇
CMI STEMS Top 30 India
Chennai Mathematical Institute · Top 30 in India for research aptitude · 2025
🏛️
NPTEL SWAYAM Deep Learning
Neural network architectures, backpropagation & optimization · 2026
📊
Yale — Financial Markets
Coursera · Market theory & quantitative finance
🌐
Harvard CS50W
Web Programming with Python & JavaScript · In Progress
🔷
Cisco Networking Academy
Data Science, Python & Statistical Analysis
➗
Mathematics Olympiad
Merit certificate · Indian Olympiad Qualifier in Mathematics (IOQM)
🚦
Smart India Hackathon 2025
RL-based intelligent traffic management system · Odisha
📝
IEEE Research Paper — Submitted
DNN-RL Exchange Rate Prediction · Under peer review · 2026
Let's Connect

Get In Touch

Open to research collaborations, internships, freelance projects, and conversations about AI, quantitative finance, or anything at the cutting edge.

Email
mithilcuber@gmail.com
LinkedIn
mithilesh-a-07486935b
GitHub
github.com/Mithil-7
Freelancer
freelancer.in/u/Mithil7a
Send a Message