Hi, I'm Aadil Farooq.
Dual-degree student pursuing B.Tech in Computer Science & Technology at SAGE University, Indore, and BS in Data Science & Applications at IIT Madras. Exploring software engineering, artificial intelligence, and practical problem-solving through projects, hackathons, and open-source collaboration.
name: "Aadil Farooq",
degree_1: "B.Tech CST @ SAGE",
degree_2: "BS Data Science @ IITM",
coreFocus: ["AI/ML", "SWE", "NLP"],
activeWork: "NyayaAI & PAIMANA",
openSource: "GSSoC'26 Contributor",
leadership: "Google Gemini Ambassador",
About Me
Dual-degree discipline combining foundational computer science engineering with rigorous statistical and applied machine learning.
The Dual-Degree Journey
I am concurrently pursuing two rigorous academic programmes: a B.Tech in Computer Science & Technology at SAGE University, Indore, and a BS in Data Science & Applications from the Indian Institute of Technology Madras (IITM).
This dual trajectory gives me a unique synthesis: on one side, classic systems thinking, operating systems, data structures, and software engineering; on the other, mathematical rigor, predictive modeling, NLP pipelines, and data-driven decision making.
Beyond formal coursework, I spend my time engineering practical prototypes like NyayaAI (an NLP-driven legal assistant), collaborating on hackathon platforms like PAIMANA (Team ByteForge for SIH 2026), and contributing to open-source software via GSSoC'26.
As a Google Gemini Student Campus Ambassador and ICPC Regionals Ambassador, I am deeply passionate about empowering student peer groups, sharing practical insights into modern generative models, and fostering competitive programming culture.
Practical Builders
Focus on working software, clean APIs, and testable code over theoretical fluff.
System Depth
Balancing high-level AI abstractions with strong data structures and algorithms.
Community First
Active in open source, hackathons, and technical campus workshops.
JEE Main Percentile: 87.7 (National engineering entrance exam).
Undergraduate GPA verified after completion of 2 semesters at SAGE University.
Education
Simultaneous enrollment combining software engineering foundations with specialized data science and machine learning.
SAGE University, Indore
- Comprehensive computer science curriculum focused on data structures, algorithms, object-oriented programming, and operating systems.
- Active leadership within the ALTA School of Technology Communication & Tech Club.
- Strong academic performance maintaining an 8.17 CGPA across foundational semesters.
Indian Institute of Technology Madras
- Specialised curriculum emphasizing mathematical foundations, statistical inference, algorithmic data structures, and machine learning.
- Designed to build strong analytical rigor and real-world applied data science engineering capabilities.
- Pursued simultaneously alongside B.Tech to bridge core software engineering with modern AI/ML systems.
Featured Projects
Real-world implementations and technical architectures solving domain problems in law, governance, and infrastructure.
NyayaAI
AI-Powered Legal Assistance Platform
An intelligent legal-tech platform engineered to democratize access to legal understanding. Utilizes NLP and machine learning pipelines to parse user queries, categorize legal intents, simplify dense statutory language, and automate initial draft generation.
Key Features & Implementation
- NLP-based legal query classification across multiple intent and jurisdictional categories.
- Automated template workflows to generate structured FIR, formal complaint, and legal notice drafts.
- Text simplification pipeline that translates dense legalese into accessible, plain-language summaries for everyday citizens.
- REST API backend built with Flask to handle seamless asynchronous document generation and classification endpoints.
PAIMANA
Project Intelligence Platform (Team ByteForge, SIH 2026)
Infrastructure project monitoring architecture designed for Smart India Hackathon 2026. Researched and structured a predictive analytics layer on top of existing project portals to anticipate schedule delays and budget deviations.
Key Features & Implementation
- Conceived strategy and technical research for an intelligent predictive monitoring layer for public and private infrastructure works.
- Architected proposed cost-overrun and schedule-delay early warning prediction frameworks.
- Formulated risk-scoring matrix combining milestone progression, resource availability, and environmental factors.
- Recognized among the Top 25 teams in the internal institutional SIH 2026 evaluation.
Note: Architectural design, risk scoring methodology, and technical research formulated as proposed intelligence layer for SIH 2026 internal evaluation (Top 25 shortlist).
Experience & Leadership
Research internships, open-source engineering, technical community building, and competitive programming initiatives.
Summer Intern (VINS Online Track)
- Conducted machine learning and natural language processing data analysis for educational technology research initiatives.
- Designed and evaluated AI-driven interactive prototypes to address core accessibility and learning bottlenecks in ed-tech.
- Collaborated remotely with research supervisors to analyze model behaviors and data representations.
Open Source Contributor
- Contributed verified bug fixes, UI enhancements, and documentation to community open-source repositories.
- Collaborated within Git-based distributed development workflows, code reviews, and issue triage.
- Maintained consistent coding conventions and test-driven pull requests.
Gemini Student Campus Ambassador
- Organized and conducted technical workshops and hands-on demonstrations introducing Google Gemini AI models.
- Engaged with 100+ students on campus, covering prompt engineering, multimodal APIs, and applied generative AI workflows.
- Fostered a campus culture of building AI-first tools and exploring intelligent developer tooling.
Campus Ambassador
- Promoted competitive programming participation and algorithms culture for ICPC Amritapuri Regionals.
- Assisted students in team formations, contest guidelines, and problem-solving readiness.
Core Member
- Spearheaded technical activities, hackathon preparations, and student skill-building sessions.
- Coordinated cross-disciplinary club initiatives bridging software development and communication skills.
Hackathons & Achievements
Testing engineering capability, algorithmic problem-solving, and rapid prototyping under high-intensity hackathon constraints.
Udbhav’26
Engineered an innovative solution under intense 24-hour hackathon constraints, outperforming 220+ competing squads to qualify for Round 2.
Smart India Hackathon 2026
Proposed PAIMANA: predictive infrastructure intelligence layer for schedule and cost optimization. Achieved Top 25 rank in internal university selection.
Goldman Sachs India Hackathon 2026
Tackled complex quantitative, algorithmic, and engineering challenges in Python under real-time competitive evaluation.
VentureX
Participated in evaluating product feasibility, technical architecture, and pitch presentation at IIT Dhanbad.
Technical Skills
Core engineering toolset across software architecture, applied AI/ML modeling, systems fundamentals, and competitive programming.
Programming Languages
Core languages for systems, algorithms, and application engineering.
Computer Science Core
Fundamental principles for performant and scalable software.
AI/ML & Data Science
Applied machine learning, NLP modeling, and numerical computation.
Web Development & APIs
Full-stack fundamentals, server frameworks, and web architectures.
Developer Tools & DevOps
Version control, containerization, and modern development workflows.
Web3 & Decentralized
Blockchain fundamentals and smart contract paradigms.
Coding & Competitive Platforms
Continuous algorithmic problem solving across competitive platforms.
Certifications & Programs
Industry foundations and leadership development programs completed across global technology and financial organizations.
AI Foundation: Understanding AI
AI Fluency for Students
Risk Job Simulation
Aspire Leaders Program
Get In Touch
Looking for software engineering or AI/ML internship opportunities, open-source collaborations, or hackathon teams. Let's connect.
Direct Channels
Feel free to reach out directly via institutional email, LinkedIn, or phone.
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