SYSTEM_PROFILE

About Me

// BIO

I am a Data Engineering student at NIT Delhi (Class of 2027) with hands-on experience building ETL pipelines, multi-tenant data systems, and RAG-based retrieval architectures.

My focus lies in contributing to production-grade data infrastructure, ensuring pipeline reliability, and solving complex architectural challenges like context overloading in AI systems.

I actively participate in competitive programming to continuously sharpen my problem-solving skills and algorithmic efficiency, applying mathematical rigor to tackle large-scale data ingestion and latency constraints.

// EDUCATION

National Institute of Technology Delhi

B.Tech in Computer Science & Engineering

2023 — 2027

Currently Enrolled
METRICS_LOGGER

Achievements

Algorithmic statistics and competitive engineering achievements.

5th Place
Cas-a-thon 3.0 Hackathon (out of 200+ teams, 2024)
1542 Rating
LeetCode peak (300+ Problems Solved)
Top Performer
Institute coding events (Codeforces/GFG)

// env.nit_delhi_cse_2027

Status: ready_to_contribute

Focus: Distributed systems & pipelines

// SYSTEM_ABILITIES

Languages

PythonSQLC++JavaScriptC

Data Engineering

Apache AirflowETL/ELT PipelinesData PartitioningSchema ValidationData Quality Checks

Frameworks & APIs

FastAPINode.jsLangChainRAG PipelinesMulti-Agent LLM Orchestration

Databases

PostgreSQLMongoDBRedisPinecone (Vector DB)

Infrastructure

DockerLinuxGitGitHubPostmanVS Code

Data & ML

NumPyPandasScikit-learnOpenAI APIGoogle Gemini API

// DOWNLOAD_ARTIFACTS