I love reverse engineering stuff | Aspiring machine learning researcher
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
ReadXiv
February 20, 2026 – Present
My version of alphaxiv, a fast tool to read and collect papers.
View Projecteicl
June 12, 2025 – July 11, 2025
EICL - Efficiency is clever laziness. It is a lightweight benchmarking tool in golang
View ProjectPIMP
January 25, 2025 – June 19, 2025
Capstone project titled: "Addressing regional data distribution challenges in URL Phishing using Generative AI"
View ProjectJaxLab
January 5, 2025 – March 23, 2025
ML from scratch implementations in the awesome library, JAX!
View ProjectLMJango
October 21, 2024 – February 12, 2025
A fun little side project using Django + HTMX for interacting with your fav LMs using Groq API and Llama Index (development in progress)
View ProjectCrossOCR
September 28, 2024 – February 9, 2025
A multimodal approach for answering questions about images containing cross lingual text (IIT Roorkee Assignment)
View ProjectTokenizer-Study
August 9, 2024 – November 1, 2025
Internship Project at Center for AI and Robotics, consisting of a study of tokenizer's performance on various Language Families
View ProjectCultural Fit Analysis
The candidate shows a strong inclination towards self-driven learning and exploration through numerous personal projects. The diversity of projects, from hackathons to academic assignments and personal initiatives, suggests a proactive and curious individual. The focus on Machine Learning and AI aligns well with a Quantitative Researcher role, indicating a potential good cultural fit for a research-oriented environment.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions are concise, but there is no information on collaboration, problem-solving approaches, or communication style in a team setting.