Ankit Agrawal

is researching.

Angestellt, Scientific Researcher, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

Student, Data Science and Artificial Intelligence, Universität des Saarlandes

Saarbrücken, Germany

About me

Hi There, My name’s Ankit and I am Computer Vision and Machine Learning enthusiast with a passion for solving challenging and real-life problems that has a positive impact on the world. My interests are: Video Object Segmentation, Object Detection and Tracking, Recognition and Classification, Segmentation, Self/Semi-supervised learning, Pose Estimation. Vision Transformers. My Qualities: 1. Solid understanding of deep learning, machine learning, computer vision, and natural language processing. 2. Professional experience with Python, Pytorch, Django.SQL 3. Skills: OpenCV, Scikit-Learn, CUDA, Tensor Flow, Distributed GPU training, Docker, PostgreSQL, Pandas, Numpy, Flask, Git, AWS, Apache Spark I am looking for full-time opportunities from September 2022 as Data Scientist, Computer Vision, Machine Learning, or Deep Learning Engineer. Contact me at: s8anagra@stud.uni-saarland.de, or +49-152-58484978.

Skills

C/C++
API
Natural Language Processing
Raspberry Pi
Apache Kafka
Agile Entwicklung
Software
Mentoring
IT-Anwendungen
Generative KI
Informationstechnologie
Kubernetes
Testing
R Programmiersprache
Datenerhebung
Praktikum
Deep Learning
Wettbewerbsanalyse
Flask (Webframework)
Simulation
Analyse
Forecast
Jira
Softwareentwicklung
Industrie 4.0
Empfehlungssysteme
Wärmeübertragung
Forschungsmethodik
Android Apps
Data Structures
Künstliche Intelligenz
Database Design
Sensorik
REST
Geschäftsmodell
Informatik
Prototyping
Data Science
data pipeline
Distributed Data
Huggingface
LLM
NLTK
SpaCy
Transformers
Maschinelles Lernen
Laser
FEM
Algorithmus
Forschung und Entwicklung
Mehrsprachigkeit
Masterarbeit
scikit-learn
C#
SQL
Warenqualität
Quantum
OpenAI
langchain
pinecode
neo4j
Python
C
C++
R
PostgreSQL
Agile
Docker
AWS
Git
CI/CD
A/B testing
PyTorch
TensorFlow
Scikit-learn
hugging face
Python pandas
NumPy
matplotlib
OpenCV
Django
Flask (web framework)
REST API
Apache Spark
Test Driven Development (TDD)
GitLab

Timeline

Professional experience for Ankit Agrawal

  • Current 1 year and 1 month, since Jun 2023

    Scientific Researcher

    Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

    Graph Neural Network, Hybrid Quantum Machine Learning, Quantum Computing. Large Language Models, Natural Language Processing. Delivered precise and efficient models (Mesh Graph Networks, GCN, GAT, Quantum‐ML) to TRUMPF GmbH + Co. for heat simulation, aiding in the identification of critical samples and reducing their error rate. • Addressed challenges in heat transfer simulations by generating synthetic data for laser‐cutting through Finite Element Methods (FEM), enhancing data‐driven modeling.

  • 3 years and 1 month, May 2020 - May 2023

    Research Associate

    Deutsches Forschungszentrum für Künstliche Intelligenz

    • Built a Business model recommendation system to help companies improve their products and underlying business model, along with identifying potential threats. • Developed a novel aspect‑based sentiment analysis model and zero‑shot multilingual RoBERTa classification model for analysis of customer reviews extracted from various e‑commerce websites and Twitter. • Implemented end‑to‑end prototype including crawlers, models training, deployment to production, back‑end APIs and database server hosting.

  • 1 year and 7 months, May 2021 - Nov 2022

    MASTER THESiS

    Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI)

    • Research on efficient and adaptive dense correspondence matching module for detection & segmentation of objects in videos. • Achieved state‑of‑the‑art results in YOUTUBE‑VOS, DAVIS and TAO‑VOS benchmarks for Video Object Segmentation task. • End‑to‑end implementation of distributed GPU training pipeline for self‑supervised learning methods and evaluation against state‑of‑the‑art models.

  • 2 years and 3 months, Jul 2017 - Sep 2019

    Software Engineer

    J.P. Morgan Chase & Co.

    • Ownership of design and development, whilst leading the team of a new intelligent trade booking life‑cycle platform which assisted stakeholders to book trade 5x faster and increased performance by 30%. • Enhanced trade forecasting systems performance to optimize the report generation time by 60% using efficient data structures and SQL queries to remove redundancy and time complexity. • Mentored 15 graduates and interns and coordinated various workshops on Agile Methodologies, Clean Coding Practice, Git.

  • 2 years and 3 months, Jul 2017 - Sep 2019

    SOFTWARE ENGiNEER

    JP Morgan and Chase

    Led the design & development of a new trade booking life‐cycle platform, enabling stakeholders to book trades 5x faster & achieving a 30% performance enhancement. Optimized trade forecasting systems, reducing report generation time by 60% by leveraging efficient data structures & refining SQL queries to minimize redundancy & time complexity. Mentored 6 new graduates and interns, & organized workshops on Agile Methodologies, Clean Coding Practice, Code Reviews, and Git, enhancing team skills and productivity

  • 8 months, Dec 2015 - Jul 2016

    SOFTWARE DEVELOPMENT ENGiNEER INTERN

    Appointy Software Inc

Educational background for Ankit Agrawal

  • Current 4 years and 9 months, since Oct 2019

    Data Science and Artificial Intelligence

    Universität des Saarlandes

    • Research Area: Deep Learning, Machine Learning, Computer Vision, Image/Video Understanding, Natural Language Processing.

  • 3 years and 11 months, Jul 2013 - May 2017

    Computer Science and Engineering

    Maulana Azad National Institute of Technology, Bhopal

    • Courses: Data Structures and Algorithms, Database Management Systems, Computer Programming, Artificial Intelligence.

Languages

  • English

    First language

  • German

    Basic

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