01 / LOCATION
Virginia, US Fairfax → Germany / EUSOFTWARE × DATA × INFRASTRUCTURE
I build software that
turns data into systems.
Software developer and data engineer building backend services, APIs and reliable data pipelines — with a growing focus on climate, energy and infrastructure.
01 / SELECTED SYSTEMS
Things I’ve built.
Selected software and data systems spanning APIs, pipelines, cloud platforms and climate technology.
01 / Featured system
Data + Software
Climate
Emissions
Platform
European emissions intelligence platform combining Eurostat, World Bank and OWID datasets into a unified analytics pipeline for 32 countries.
Python → ETL → PostgreSQL → FastAPI → Analytics
0public sources
0European countries
1990–2024reporting window
- Staged pipeline with a raw landing zone, validation, transformation and per-run lineage
- Data-quality components for missing values, duplicates, unit normalisation and unit-error detection
- Idempotent COPY + upsert loading; FastAPI endpoints for per-capita, change since 1990 and sector shares
Inspect the path
Eurostat ──┐ OWID ──────┼─→ Python ETL → PostgreSQL → FastAPI → Client World Bank ┘
GridShift
02 · Software
Run computing when electricity is cleaner.
Shows when and where to run compute jobs on European grids for the lowest CO₂.
−66%shifting in time
−93%time + location
0tests
Python API / Next.js / Carbon-aware scheduling
Inspect the path
Job spec → FastAPI → Fraunhofer ISE forecasts
↓
Window search (O(n log n))
↓
Next.js recommendation + chart
Agentic AI
03 · Data
A multi-agent pipeline for warehouse quality.
Profiles, scores and monitors data warehouse tables, then surfaces root-cause insights.
Sketch of the app's React + Tailwind dashboard (its pages and status colours).
- Six LangGraph agents chained into one quality pipeline
- Azure App Service backend, PostgreSQL telemetry, React dashboard
Inspect the path
Table → Planner → Metadata → Metrics
→ Scoring → RCA → Issue → Dashboard
OrbitWatch
04 · Data engineering
A pipeline that tracks everything in orbit.
Snapshots every tracked satellite and debris cloud, builds the history the source doesn’t keep, and screens 19,000 orbits for close approaches.
ingestgp_snapshotsatcat_snapshot
stagingstg_gp_elementsstg_satcat_daily
martsdim_object_historyfct_orbit_changesfct_reentries
computeclose_approachesmart_close_approaches
Asset groups as they appear in its Dagster lineage view (16 assets, 23 checks).
35,214objects in orbit
19,301orbits screened
0tests
- Dagster software-defined assets with dbt on DuckDB; dbt tests run as asset checks
- Type 2 history built from immutable snapshots, manoeuvre and re-entry detection
- SGP4 + KD-tree close-approach screening, verified against brute-force propagation
- Daily GitHub Actions run publishes each snapshot as a release, so history grows every day
Inspect the path
CelesTrak (every 6 h) → raw/ + bronze/ Parquet
↓
dbt: staging → SCD2 history → marts
↓
SGP4 + KD-tree screening → close approaches
Pet Adoption System
05 · Product engineering
Full-stack application for shelter operations.
Demonstrates API design, database modelling and application architecture — breadth without diluting the systems story.
Sketch of the app's Bootstrap 5 admin layout (its real pages).
- FastAPI + MongoDB with CRUD across six collections and generated OpenAPI docs
- Bootstrap 5 dashboard with Chart.js for adoption trends and medical visits
Inspect the path
Dashboard → FastAPI → MongoDB
↓
Chart.js analytics + volunteer matching
Also: 69+ data structures & algorithms solutions in Python.
02 / EXPERIENCE
Where I’ve worked.
2026
Software Developer
Mason LIFE Program, George Mason University · Fairfax, VA · 12/2025 – present
- Own development of a Python/Flask and PostgreSQL application that centralises course, scheduling, student and program operations
- Designed the relational data model and consolidated 6 separate Excel trackers into the database
- Automated recurring workflows with Python and SQL, saving 4–5 hours of manual work per week; reporting integrations feeding 8 Tableau and Power BI dashboards for 15+ staff
2025
Data Engineer Intern
DQLabs · Remote · 08/2025 – 12/2025
- Developed Python/FastAPI services and REST APIs running 50+ automated validation checks across 20+ datasets
- Implemented asynchronous processing with RabbitMQ and Amazon SQS; workflows across AWS S3, RDS and EC2
- Added automatic retries and alerting that cut repeat failures by about 20% and MTTR by about 35%
03 / ENGINEERING STACK
Tools I work with.
APPLICATION
TypeScriptJavaScriptReactNext.jsHTML / CSS
SERVICES
PythonJavaFastAPIFlaskSpring BootREST
DATA
SQLPostgreSQLMongoDBKafkaRabbitMQETLPandas
INFRASTRUCTURE
AWSAzureDockerKubernetesGitHub Actions
QUALITY
pytestJUnitPostmanLogging & monitoring
LANGUAGES
EnglishGerman (A1)HindiUrdu
04 / EDUCATION
How I got here.
2025US
M.S. COMPUTER SCIENCE
George Mason University · Fairfax, Virginia · GPA 3.72
2021INDIA
B.TECH COMPUTER SCIENCE & ENGINEERING
Kakatiya Institute of Technology & Science · Warangal, India · GPA 8.95 / 10
CURRENT SIGNAL / 2026
What I’m exploring.
I’m particularly interested in engineering teams working on:
Energy infrastructure
Grid digitalisation
Climate intelligence
Data platforms
Developer infrastructure
Large-scale backend systems
Especially interested in opportunities across Germany and Europe.
05 / CONTACT
Let’s build
something
useful.
I’m interested in software engineering and data engineering opportunities building reliable systems, platforms and infrastructure.
Start a conversation ↗RELOCATION
Based in Virginia, USA. Open to relocation across Germany and the EU. Eligible for Germany’s EU Blue Card pathway. Available for CET interviews.