Computer Science Engineering (AI&DS) · SASTRA University

Mithilesh Adhinarayanan

Building intelligent systems at the intersection of Deep Learning, Reinforcement Learning, and Quantitative Finance. Researching DNN-RL models for financial forecasting with 95%+ predictive accuracy.

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95%+
Forecast Accuracy
Top 30
CMI STEMS India
2026
IEEE Target
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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 urban intelligence systems.

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 exploring Advanced Persistent Threat detection using ML for network security.

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

Mithil-7 LinkedIn Stack Exchange Freelancer mithilcuber@gmail.com
🎓 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
Hosur, India
+91 9488694227
Expertise

Technical Skills

🧠 AI / ML / Deep Learning
Reinforcement Learning Deep Learning PPO DQN MARL Neural Networks Policy Gradient TensorFlow Backpropagation Time Series Transfer Learning Model Optimization
💬 NLP / LLM
Natural Language Processing Large Language Models Transformers Text Classification Sentiment Analysis Tokenization Embeddings Prompt Engineering RAG Hugging Face BERT / GPT Architectures
👁️ Computer Vision (CV)
Computer Vision OpenCV Object Detection Image Classification Image Segmentation Real-time Video Processing Feature Extraction CNNs YOLO Vehicle Detection
💻 Programming Languages
Python (Advanced) Java C++ C SQL JavaScript
🌐 Web & Full Stack
Django React HTML / CSS MongoDB REST APIs Flask API Integration
📊 Data Science & Analytics
NumPy Pandas Matplotlib Seaborn Feature Engineering Data Cleaning Statistical Analysis EDA Data Visualization
📈 Quantitative Finance
Quantitative Finance Macroeconomic Analysis Algorithmic Trading Market Theory Financial Forecasting Exchange Rate Modeling Risk Analysis Portfolio Optimization
🔧 Tools, Security & Systems
High Performance Computing Git / GitHub Raspberry Pi DSA Network Security APT Detection Anomaly Detection Multi-Agent Systems Linux Jupyter Notebook VS Code
Academic Work

Research Experience

📈
Active Research
DNN-RL Based Solution for Predicting Exchange Rates
Financial Markets · SASTRA Deemed University · Mar 2026 – Present
Authoring a specialized quantitative research paper targeting IEEE publication. The work integrates Deep Neural Networks with policy-gradient Reinforcement Learning (PPO) to augment time series models. Incorporates critical macroeconomic variables — Crude Oil prices, Gold futures, and the NIFTY 50 index — achieving predictive accuracy exceeding 95%.
PPO Deep Learning Time Series Macroeconomics NIFTY 50 IEEE Target
🔐
Active Research
Advanced Persistent Threat (APT) Detection
Cybersecurity · SASTRA Deemed University · Feb 2026 – Present
Investigating APT detection methodologies and anomaly identification using Machine Learning to enhance network security frameworks. Focused on developing robust detection models capable of identifying sophisticated, long-term threat actors in enterprise networks.
APT Detection Anomaly Detection Network Security Machine Learning
Work & Roles

Professional Experience

Part-time · 3 mos
WorldQuant
Global Quantitative Investment Firm
BRAIN Research Consultant
May 2026 – Present · 2 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 Platform Custom Expression Languages Probability Alpha Research Quantitative Finance Statistical Modeling
Student Researcher — Financial Markets
SASTRA Deemed University
Mar 2026 – Present · Thanjavur, TN
  • Authoring a quantitative research paper on DNN-RL based exchange rate prediction, targeting IEEE publication.
  • Integrating Deep Learning with PPO policy-gradient RL to augment time series forecasting models.
  • Incorporating macroeconomic variables (Crude Oil, Gold futures, NIFTY 50) to achieve 95%+ predictive accuracy.
PPODeep LearningTime SeriesQuantitative FinanceIEEE
Student Researcher — Cybersecurity
SASTRA Deemed University
Feb 2026 – Present · Thanjavur, TN
  • Investigating Advanced Persistent Threat (APT) detection methodologies using Machine Learning.
  • 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 2025 – December 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 SciencePhysicsCommunityKnowledge Sharing
🧩
AOPS - Art Of Problem Solving
AOPS
2022 - Ongoing · Remote
  • Active contributor across Mathematics providing clear, comprehensive, and accurate solutions to difficult math and computer science competition problems.
  • Answering student questions in forums and helping maintain a collaborative and educational environment
  • Strong foundation in advanced mathematics
Advanced MathematicsOlympiadProblem SolvingCommunityKnowledge Sharing
Built Things

Technical Projects

01
RL-Based Traffic Management System
Sep 2025 – Dec 2025 · Smart India Hackathon 2025
Developed an intelligent urban signal control system for SIH 2025 (Odisha) that minimizes traffic clearance time using Multi-Agent Reinforcement Learning. Integrated OpenCV on Raspberry Pi for real-time vehicle detection, preprocessing, and adaptive signal adjustments.
DQN MARL OpenCV Raspberry Pi Python Computer Vision
02
Web-Based AI Applications
Jan 2026 - Present · Web
Engineered various full-stack web platforms integrating custom AI/ML-backed solutions for seamless user interaction. Built end-to-end systems from data pipelines to interactive user interfaces using the Django Python stack.
Python Django MongoDB ML Models JavaScript REST APIs
03
Exchange Rate Forecasting Engine
Mar 2026 – Apr 2026 · Research Project
End-to-end quantitative forecasting system combining DNN architectures with PPO-based reinforcement learning agents. Processes multivariate financial time series data including crude oil, gold futures and index data to achieve 95%+ accuracy.
TensorFlow PPO Time Series NumPy Pandas Feature Engineering
View All Projects on GitHub
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GitHub Activity

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Recognition

Certifications & Achievements

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

Get In Touch

Open to research collaborations, internships, freelance projects, and interesting 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