Available for opportunities.

AC
[01] About

been here for years

A passionate and dedicated software engineer with a strong foundation in computer science and a knack for problem-solving. Experienced in building web applications using modern technologies like React, Next.js, and Node.js. Eager to learn and adapt to new challenges in the tech world. Available for opportunities.

ReactNext.jsTypeScriptNode.jsPythonPostgreSQLDockerFastAPIExpressTailwind CSSMachine LearningSocket.IOReactNext.jsTypeScriptNode.jsPythonPostgreSQLDockerFastAPIExpressTailwind CSSMachine LearningSocket.IO
[02] Work ExperienceCount: 05
S

Stealth AI Startup

Data Specialist
May 2025
Present
Remote
• Built frontend review interfaces using TypeScript, ShadCN UI, and Tailwind CSS for data evaluation workflows. • Implemented Python data analytics logic to validate accuracy and catch edge cases in production outputs. • Conducted technical reviews of complex analytics/code outputs, documenting bugs and failure patterns. • Defined evaluation rubrics and documentation to standardize quality checks across review cycles.

Python

Pandas

Jupyter

Internal Web PlatformsVersion Control Tools
T

TechXtract

Technical Co-Head
Aug 2025
Present
Hybrid
• Leading technical initiatives for college technical society development projects. • Coordinating team activities and organizing technical workshops for members. • Mentoring junior members in software development and emerging technologies. • Managing technical documentation and project roadmaps for society initiatives.
Technical LeadershipTeam MentorshipProject ManagementTechnical WorkshopsTechnical DocumentationRoadmapping
A

Amazon ML Summer School

Machine Learning Trainee
Aug 2025
Sep 2025
Remote
• Gained proficiency in regression, classification algorithms, decision trees, and SVMs. • Explored K-means clustering and PCA for dimensionality reduction. • Developed deep neural networks including CNNs and RNNs for various applications. • Understood RL fundamentals: Markov Decision Processes, Q-learning, and policy gradients.

Python

TensorFlow

PyTorch

Scikit-learn

NumPy

Pandas

MatplotlibSeabornJupyter Notebook
S

Social (Formerly Script Foundation)

Project Admin
Jun 2025
Aug 2025
Remote
• Project admin for ThinkDSA GitHub project submitted to SSOC-4. • Managing 10+ collaborators working simultaneously on the project. • Coordinating pull requests, code reviews, and ensuring milestone completion. • Maintaining project documentation and contributor guidelines.

JavaScript

Gemini AIChrome Extensions API

GitHub

Project ManagementCode ReviewTeam CollaborationMentorship
I

IBM-CSRBOX

Data Analyst Intern
June 2024
August 2024
Remote
• Selected for competitive 6-week internship on Data Analytics through IBM SkillsBuild. • Participated in industry-led masterclasses and hands-on project work. • Gained proficiency in data analysis tools and design thinking principles. • Developed capstone project and earned IBM SkillsBuild and CSRBOX certifications.

Python

Pandas

NumPy

Excel

MatplotlibSeaborn

Power BI

JavaScript

[03] GitHub Activity
 
[04] Education
M

Maharaja Agrasen Institute of Technology

B. Tech in Computer Science and Technology
2023
2027
S

School of Excellence, Rohini

12th Standard (95%)
2020
2022
S

School of Excellence, Rohini

10th Standard (90.4%)
2018
2020
[05] DeploymentsFeatured
Winnow

Winnow

Open-source RAG prompt compression middleware. Sits between your vector DB and LLM, compressing retrieved context using LLMLingua-2 token-level scoring guided by your query - cutting token costs by ~50% with less than 3% accuracy loss. OpenAI-compatible proxy, LangChain integration, self-hostable via Docker, pip installable.

PythonFastAPILLMLingua-2DockerLangChainHugging FacetiktokenNext.jsTypeScript
WebsiteSource
Credit Card Fraud Detection

Credit Card Fraud Detection

Machine learning project comparing six classification algorithms to detect fraudulent credit card transactions on highly imbalanced dataset. XGBoost achieved 97.71% AUC while LightGBM with 5-fold CV provides robust production model at 95.84% AUC. Analyzed 284,807 transactions with comprehensive EDA and feature importance analysis.

PythonXGBoostLightGBMScikit-learnCatBoostAdaBoostNumPyPandasMatplotlibSeabornPlotlyJupyter NotebookMachine Learning
WebsiteSource
[06] Achievements
Samsung Innovation Campus

Selected for the Big Data course under Samsung Innovation Campus (SIC).

Quira.sh

Ranked 3rd in a Quira quest and placed Top 10 in 2 additional quests - competing in open-source coding challenges on quira.sh.

Hackathons

5+ hackathons competed - build fast, break things, ship relentlessly. Top 20 @ SuperMind 3.0, SIH qualifier.

NASSCOM Tech for Change

Team's startup idea selected under NASSCOM's Tech for Change initiative.

Open Source

Project admin for ThinkDSA under SSOC-4, managing 10+ contributors and shipping features in the open.

Amazon ML School

Selected for Amazon ML Summer School - deep learning, reinforcement learning, and production ML pipelines.

[07] Contact

Want to collaborate? Have an opportunity? Let's talk.

[email protected]
LinkedIn
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