CS and Economics student at IIIT-Delhi with expertise in Software Development, Machine Learning and Data Science. Passionate about building efficient, real-world solutions by blending technical precision with creative problem-solving. Continuously exploring emerging technologies and driven to make a meaningful impact in the evolving tech landscape.
Hello, I'm Aryaan — a driven and multidisciplinary Software Developer, Data Analyst, and AI/ML Researcher currently pursuing a B.Tech in Computer Science and Economics from IIIT-Delhi.
I thrive at the intersection of software engineering and data science, bringing a fusion of analytical rigor and creative problem-solving to every project. Whether I’m optimizing database performance, crafting scalable ML models, or building full-fledged applications, I strive for elegant, efficient, and impactful solutions.
My technical arsenal spans across Java, Python, C/C++, and SQL, enriched by hands-on experience in Machine Learning, Natural Language Processing, Database Systems, and Network Simulation. From developing a state-of-the-art Detection framework using RoBERTa and Graph Attention Networks, to engineering a CLI-based Delivery System optimized SQL architecture, I bring both depth and versatility to every problem space.
Beyond code, I’ve contributed to academic research on ethical AI and cipher classification, co-authored publications, and led initiatives as a Teaching Assistant and cultural fest organizer. I’m passionate about lifelong learning and excited to create intelligent systems that solve real-world challenges with precision and empathy.
A transformative experience, cultivating knowledge and friendships, paving the way for a brighter future.Learning new skills and taking new paths everyday.
Throughout my school years, I cultivated a diverse set of qualities including strong leadership, effective communication, and a collaborative spirit. My active involvement in academic and extracurricular initiatives has shaped me into a well-rounded individual with a passion for innovation and teamwork.
Served as Head Boy, led the theatre club, and actively participated in debates, science club, and sports—winning multiple zonal and district-level competitions.
Lead and managed the operations department for India's one of the biggest college cultural fest at IIITD. managed people took quick decisions which helped me enhance my managment skills, improved my strategic thinking and conflict resolution skills.
Managed a team of 30 memebers and conducted various street plays giving social messages like promoting gender equality and harmony displaying great managment and communication skills
Lead a council of 50 members taking critical decision for the institute having 3000 students. I was acting as the bridge between the students and the school authorities. I expressed remarkable leadership skills showing positive attitude and motivating my team members.
Built a dynamic risk-assessment tool for construction projects, reducing schedule overruns by 40% by correlating soft parameters (team morale, contractor reliability) with hard metrics (budget, timelines) via explainable AI and Machine Learning and Deep Learning techniques.
Scraped and processed over 6,000 legal cases, identifying key features such as agents, ethical principles, and consequences, creating a structured dataset for cross-jurisdictional legal analysis. Model Development and Optimization: Applied advanced LLMs (e.g., GPT-4 and MetaLlama) with enhanced prompt engineering to achieve high-accuracy extraction of 11+ legal and ethical features per case, reducing hallucination rates by optimizing input packet sizes.
Working as a teaching assistant for Econometrics course under Prof. J.V.Meenakshi. Managing 103 students and teaching them core concepts of Econometrics. Enhanced my technical and academic knowledge. I learnt how to apply my creativity and critical thinking to explain concepts in a simplified way. My active decision making skills and resourcefulness optimized the teaching process by 65%.
Created an LLM based Vivabot that can help in analysing the assignments and ask relevant questions. Automated the Viva process,reducing the human effort by 50-60%. Reduced the bias and increased accuracy by 60%. Facilitated with a Letter of Recomendation by Dr. Dhruv Kumar for exceptional work and dedication.
Worked at Texas Distribution Co. where I utilized ML techniques to predict material waste based on historical data, optimizing the material ordering process, which led to a 12% reduction in material costs and waste. Implemented classification models to classify waste-prone construction processes, achieving an accuracy of 83%, resulting in the identification of high-risk areas for material waste reduction.
Harvested ethically nuanced situations from 28 Reddit subreddits with web scraping, prompt engineering, and natural language processing for creating a first of its kind "Ethics Scoring Algorithm" with Context Sensitivity Thresholding—boosting ethical nuance capture by 37% with a 62% decrease in compute expenses.
