NASA Space Apps Global Winner and Computer Engineering Senior (GPA 8.70) specializing in Data Analytics, Exploratory Data Analysis (EDA), SQL database modeling, and statistical satellite signal processing.
ISRO / IIRS certified in Python Geodata Processing (96% score, Top 1%) with proven expertise analyzing complex datasets across satellite telemetry streams and user engagement metrics for 100K+ platform users.
Technical capabilities cover PyTorch, Hugging Face, QLoRA, Fine-Tuning, Scikit-Learn, SciPy, Pandas, NumPy, SQL (PostgreSQL, MySQL), Neo4j, LangGraph, FastAPI, Docker, and AWS (S3, EC2).
Founder & Product Analytics Lead at BTechNotes (100K+ active users, 1M+ views), PyPI author of FaceParser and TrainIQ, and published research author ("Generative Architectural Design using Deep Learning", IJARSCT).
FEB 2026 - PRESENT
• Analyzed noisy satellite telemetry datasets using SciPy statistical processing, improving signal parameter extraction accuracy to 94.2% across raw orbital data streams.
• Engineered automated data ingestion and preprocessing pipelines for IoT space weather sensors, accelerating dataset throughput and reducing analytical latency by 3.2x.
MAY 2026 - PRESENT
• Built and deployed API data microservices on AWS EC2 processing 50K+ daily analytics requests with sub-120ms response time and 99.9% pipeline reliability.
AUG 2025 - JAN 2026
• Performed quantitative analysis and benchmarking across model inference logs, identifying bottlenecks to reduce memory footprint by 45% and latency by 68%.
• Built dynamic data transformation pipelines and automated MLOps data augmentation workflows, boosting multi-class classification mAP score to 89.4%.
HONORS & LEADERSHIP
Global Winner – NASA Space Apps Challenge (2025): Awarded top global honors out of 90,000+ participants for statistical CME space weather prediction model.
ISRO / IIRS Certification: Graduated top 1% with 96% (A+) score in Geodata Processing using Python & ML.
Founder & Product Lead – BTechNotes: Analyzed web telemetry and user behavior logs for 100K+ active student users across 1M+ views.
PyPI Author: Published FaceParser and TrainIQ; created 89+ public GitHub repositories.
AUG 2022 - JUNE 2026
Specializing in Data Analytics, Exploratory Data Analysis (EDA), SQL Database Modeling, and Statistical Satellite Signal Processing.
RESEARCH PUBLICATION
Authored peer-reviewed research paper exploring deep learning techniques for automated generative architectural design and layout generation.
Data Analytics & Statistics | Machine Learning & Modeling | Developer Tools & Cloud
SQL (PostgreSQL, MySQL), Exploratory Data Analysis (EDA), Hypothesis Testing, A/B Testing, SciPy statistical analysis, and satellite telemetry stream processing.
Python, Pandas, NumPy, Data Cleaning, Matplotlib, Seaborn, Feature Engineering, and quantitative profiling.
PyTorch, Hugging Face, QLoRA Parameter-Efficient Fine-Tuning, Scikit-Learn, Predictive Modeling, and Time-Series Analysis.
Git, Linux, Docker, PostgreSQL, MongoDB, FastAPI, AWS (S3, EC2), Jupyter Notebooks, and scalable microservices.
Knowledge Graph relational modeling in Neo4j, SQL query optimization, LangGraph agents, model benchmarking, and memory reduction.
Web telemetry tracking for 100K+ active users, PyPI package maintenance (FaceParser, TrainIQ), and 89+ public GitHub repositories.
Highlighted projects from recent research, open-source models, and data analytics pipelines.
NASA Space Apps Global Winner
Executed exploratory data analysis (EDA) and anomaly detection on Aditya-L1 solar payload telemetry, achieving 84.0% signal detection accuracy across raw space environment data streams. Built using Python, Pandas, and SciPy.
Open-Source Analytics Model
Fine-tuned a quantized LLM on specialized threat data using QLoRA parameter-efficient optimization, reducing memory overhead by 75% while achieving high-precision classification over complex security log streams. Built using PyTorch, QLoRA, and Hugging Face.
NASA Space Apps Challenge 2025 Global Winner | AI/ML Engineer specializing in space technology and geospatial intelligence. Let's collaborate on innovative AI solutions for space, healthcare, and environmental applications. Email Me.
