# Fenil Modi

Fenil Modi is a remote worker on Himalayas, Lead Backend & Data Engineer at Hubbl, based in India.

Source: https://himalayas.app/@fenilmodi

```text
Lead Backend & Data Engineer at Hubbl; first-authored an IEEE paper on probabilistic space debris conjunction assessment.
```

| Detail | Value |
| --- | --- |
| Availability | Looking for a job |
| Location | India |
| Authorized to work in | India |
| Salary expectations | 834k+ INR |
| Job categories | Space Situational Awareness, Research Scientist, Data Engineer |
| Skills | Space Situational Awareness, Probabilistic Conjunction Assessment, Covariance Intersection, B Plane Geometry, TLE Handling, SGP4 SDP4, Ephemeris Validation, Conjunction Screening, Uncertainty Quantification, Monte Carlo Methods, Scientific Computing, Large Scale Data Processing, Batch data pipelines, Parallel Workloads, Machine Learning |
| Portfolio | https://orcas-portfolio.vercel.app |
| LinkedIn | https://linkedin.com/in/fenilmodi823 |
| GitHub | https://github.com/fenilmodi823 |
| Twitter | https://https://x.com/fenilmodi_823 |

## What I'm looking for

```text
I’m seeking research positions in space situational awareness and large-scale scientific data processing, and I’m available for international relocation.
```

## About

```text
At Hubbl, I defined the backend and data architecture, including 8+ core services and the PostgreSQL schema for community, event, and speaker records. I also consolidated four regional user-group datasets into one relational store.

I built Node-based background workers for scheduled mail synchronization and scraping, and owned the registration pipeline for a 120-capacity national analytics event with the India AI + Tableau User Group and Queen’s University Belfast.

On ORCAS at Silver Oak University, I built a Python pipeline to validate checksums and resolve epoch drift across a ∼10,000-object TLE catalogue. I used Monte Carlo sampling to quantify collision-probability uncertainty and cross-validated SGP4 against reference ephemerides.

I was first author and presenter of an IEEE-published paper on probabilistic space debris conjunction assessment. My research combined covariance intersection, machine-learning conjunction screening, and 3σ covariance ellipse overlap in the B-plane; I’m seeking research positions in space situational awareness and large-scale scientific data processing.
```

## Experience

### Lead Backend & Data Engineer (current)

Hubbl. Jul 2026 - Present

```text
Defined backend and data architecture at platform inception, consolidating regional user-group datasets into a single relational schema. Built Node-based background workers for mail-sync and scraping, and owned the registration pipeline for a national analytics event.
```

Skills: NodeJS, PostgreSQL, Data-Architecture, Data-Modeling, Background-Jobs, REST-APIs, Event-Registration

### Team Lead & Lead Analyst (current)

ORCAS. Jan 2024 - Present

```text
Led development of an orbital risk and conjunction assessment system, building a Python ingestion pipeline for TLE catalogues and implementing Monte Carlo sampling for collision probability confidence intervals. Cross-validated SGP4 propagator against reference ephemerides and instituted Git-based code review for team reproducibility.
```

Skills: Python, SGP4, TLE, Monte-Carlo, Uncertainty-Quantification, Git, Data-Pipelines, Scientific-Computing

## Education

### Silver Oak University

B.Tech., Computer Engineering. 2022 - 2026

```text
B.Tech. in Computer Engineering with coursework completed and degree conferral pending. Coursework includes Statistical Methods, Machine Learning, Data Structures & Algorithms, Cryptography, Computer Networks, Database Systems, and Scientific Computing.
```

## Tech stack

- Tableau
- GitHub
- Jupyter
- NumPy
- Pandas
- PostgreSQL
- MongoDB
- Node.js
- React
- Python
- TensorFlow
- PyTorch
- scikit-learn
- FastAPI
- Linux
- Prisma
- Git
- SciPy
- Qiskit
- Matplotlib

To contact Fenil, message them from this profile with a Himalayas employer account: [Hire on Himalayas](https://himalayas.app/hire).

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