Professional Experience
Industrial Thesis Intern
Robert Bosch GmbH- Work on the thesis on the topic "Semi-supervised Continual Learning methods for tabular industrial data"
Student Assistant
MBExC - Cluster of Excellence Multiscale Bioimaging- Conduct tutorial sessions and prepare lecture materials for the course Statistical and Computational Data Science II
Student Assistant
Akademie der Wissenschaft zu Göttingen- Maintain local Databases by fixing duplicate entries and database backups.
- Explore RAG based system for querying and studying clerical records from local databases.
- Develop a Pipeline to extract clerical entries from "Repertorium Germanicum" pdfs using few shot LLM-based parsing via chromadb.
- Developed pipelines for syncing data across Factrgrid, a wikidata instance for clerical details, and local databases.
- Fix SSL and PHP code for existing websites.
Full Stack Engineer (Remote)
MSVN.ca- Develop React functional components using tailwind for websites
- Build dockerized API services and worker services for projects
- Create Terraform modules to deploy autoscaling services on AWS, using Fargate, ECR and RDS
- Perform migrations for databases across projects
- Set up and maintained CI/CD pipelines on the dev and production websites
- Debug and maintain cloud infrastructure for various projects
Backend Developer (Remote)
FoodTrain- Develop driver and delivery logic using expressJs.
- Worked on Expo, React Native and later a React PWA for the FE
- Maintain dev and prod deployments and monitoring using pm2
- Maintain CD using gitlab and later github actions
Intern (Remote)
Crio.do- Explore different cloud IDEs (eg Eclipse Che, gitpod) for reproducible remote development
- Explore different ECS Fargate and EC2 for autoscaling containers using CloudWatch
- Develop debugging script to run test suites on a container
- Develop a PoC to reduce test suite running time from ~10 minutes to ~4 seconds
Education
Master of Science in Applied Data Science
Georg-August-Universität- GPA: 1.6 (German grading system, Highest: 1.0, Lowest: 4.0)
- Research Lab Rotation: Statistical analyses and graph-estimation of spiking in biological neuronal networks
Bachelor of Technology in Computer Science and Engineering
National Institute of Technology, Andhra Pradesh- GPA: 8.46 (Indian grading system, Highest: 10.0, Lowest: 4.0)
Certificates
AWS Certified Solutions Architect - Associate
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Amazon
https://aws.amazon.com/verificationGHF37LR262411DS9
To verify the Certificate, please put the code in the verification link above.
AWS Certified Cloud Practitioner
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Amazon
https://aws.amazon.com/verificationVRMWPGH1YFVEQYCV
To verify the Certificate, please put the code in the verification link above.
Architecting with Google Compute Engine
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Google via Coursera
https://coursera.org/verify/specialization/QXAXRUGXAHESGoethe Zertifikat C1
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Goethe Institute
https://www.goethe.de/verify2030-AC1A-0002633243
The complete verification of this certificate requires personal details that won't be available here.
IBM Data Science Specialisation
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IBM via Coursera
https://www.coursera.org/account/accomplishments/specialization/XS5UAJK5LKQABusiness Analytics Specialisation
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University of Pennsylvania via Coursera
https://www.coursera.org/account/accomplishments/specialization/DH593DKXK7UBDeep Learning Specialisation
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DeepLearning.AI via Coursera
https://www.coursera.org/account/accomplishments/specialization/4KNP4A6NMK3ZArchitecting with Google Compute Engine
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GCP via Coursera
https://www.coursera.org/account/accomplishments/specialization/QXAXRUGXAHESGoogle Cloud Skills Boost (formerly Qwicklabs)
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GCP
https://www.skills.google/public_profiles/c608815f-413f-43cf-8ba1-319e3e5e6fc7I have a list of skill badges that I got while learning about GCP. I got access to lots of free courses while learning GCP services.
Machine Learning
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Stanford Online via Coursera
https://www.coursera.org/account/accomplishments/verify/VE5T876K57MCGoogle Cloud Big Data and Machine Learning Fundamentals
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GCP via Coursera
https://www.coursera.org/account/accomplishments/verify/R6MFYEQ2DAT3Elastic Google Cloud Infrastructure: Scaling and Automation
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GCP via Coursera
https://www.coursera.org/account/accomplishments/verify/QUXBYQPL8M9UElastic Cloud Infrastructure: Containers and Services
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GCP via Coursera
https://www.coursera.org/account/accomplishments/verify/85JPWEHE2ZKQSkills
Click on the row marked with a * below to see more details. Morever tools/skills that I have used a couple of times like Langchain or only for one project won't be included.
Programming Languages
| Language | Level |
|---|---|
| Python * | |
| Java * | |
| Javascript * | |
| Golang * | |
| Typescript * | |
| C++ * | |
| Visual Basic * | |
| Bash * | |
| Haskell * | |
| Rust * | |
| PHP * |
Language
| Language | Level |
|---|---|
| German * | C1 |
| English * | C1 |
| Urdu | Native |
| Hindi | Native |
Machine Learning
| Skills | Level |
|---|---|
| Pytorch | |
| Retrieval Augmented Generation * | |
| Tensorflow * | |
| Fine-Tuning LLMs | |
| Computer Vision | |
| Graph Machine Learning | |
| Tensorflow |
Cloud Technologies
| Skills | Level |
|---|---|
| Terraform | |
| AWS Fargate | |
| AWS Cloudfront | |
| AWS S3 | |
| AWS ECR | |
| AWS VPC | |
| AWS EC2 | |
| GCP Compute Engine | |
| GCP Kubernetes |
Analysis
| Skills | Level |
|---|---|
| Pandas | |
| SQL | |
| Numpy | |
| Matplotlib | |
| sklearn | |
| chromadb | |
| scipy |
OS (and related) Tools
| Tools | Level |
|---|---|
| Docker | |
| cron | |
| nginx * | |
| Podman | |
| systemd | |
| PyAutoGUI * |
Database Tools
| Tools | Level |
|---|---|
| Postgres | |
| MySQL | |
| Wikidata/SPARQL * | |
| MongoDB | |
| RabbitMQ |
Web Tools
| Tools | Level |
|---|---|
| React.js | |
| Postman | |
| Tailwind | |
| JMeter |
Testing Tools
| Tools | Level |
|---|---|
| Mockito | |
| Pytest | |
| Jest | |
| Selenium | |
| mock * |