Vaibhav Kumar

Software Engineer

Glasgow, Scotland, United Kingdom7 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Principal Masters scholarship holder.
4 years of diverse IT industry experience.
Proven track record in machine learning and data engineering.

Stackforce AI infers this person is a Data Science and AI specialist with strong software engineering skills.

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Skills

Core Skills

Data EngineeringPythonMachine LearningJavaNlpElasticsearchData VisualizationEtlComputer Vision

Other Skills

Python (Programming Language)SQLTeamworkCommunicationC++MySQLDeep LearningETL ToolsInformaticaPL/SQLExtractTransformLoad (ETL)PCAMATLAB

About

Want someone to build ML/AI models? Innovate things? Well, continue reading then... Aspiring Artificial Intelligence developer. During my Masters in Artificial Intelligence at the Royal Holloway University of London, I have learned new skills(Machine Learning, Artificial Intelligence, Natural Language Processing, Deep Learning) and faced different challenges everyday in my journey toward improving myself as a Computer Science graduate. I do love challenges and challenging tasks, and I regularly participate in Hackathons(to name a few, TCS Sustainathon, Royal Hackaway) and Kaggle challenges. Did I mention I am a Principal Masters scholarship holder? I have past experience of almost 4 years in the IT industry in which I have worked in different technologies and industries. Skills: Data Science | Natural Language Processing | Machine Learning | Deep Learning | Python | Matlab | Java | C | C++ | HTML | JavaScript | PL/SQL | MySQL | InformaticaWant

Experience

7 yrs 2 mos

Total Experience

1 yr 5 mos

Average Tenure

3 yrs 3 mos

Current Experience

Jpmorgan chase & co.

Associate Software Engineer

Mar 2023 – Present · 3 yrs 3 mos · Glasgow, Scotland, United Kingdom

Orchestration Tool: Created Python data loaders, deploying, and executing them on the
Workflow server, providing the data to 4-5 downstream users for risk exposure management.
Python: Modernization of the python-based architecture, migration to AWS cloud and endto end analysis during the POC, reducing data fetching turnaround by 4 minutes per action.
LLM: Integrated and fine-tuned LLM model to fetch data from confluence and connect the
internal calculator through SQL, producing output based on that.

Data EngineeringPython (Programming Language)Python

Mediatek

Software Engineer

Mar 2021 – Aug 2021 · 5 mos

Machine learning: Designed and optimized machine learning-based solutions for process
monitoring tools, improving the predictive accuracy of system behaviour.
Android Kernel: Conducted research and re-engineered Android Framework, Kernel layer
code resulting in a 30% reduction in recurrent issues for different chips.

JavaPython (Programming Language)TeamworkCommunicationC++Machine Learning

Novelvox

Software Engineer

Jun 2020 – Mar 2021 · 9 mos

ElasticSearch/NLP: Transformed an article recommendation system and revamped the query
matching algorithm using Elasticsearch and NLP, reducing query search time to less than 5ms.
EDA: Transformed data for NoSQL ingestion through Logstash, and visualized key metrics in
Kibana, contributing to a 15% increase in user conversion rates.
NLP: Spearheaded NLP pilot projects for in-house chatbots, increasing customer interaction
efficiency and delivering valuable business insights.

JavaPython (Programming Language)TeamworkCommunicationMySQLSQL+2

Jaskrikview

Founder

Apr 2020 – Jun 2020 · 2 mos · Faridabad, Haryana, India

AI: Invented a machine learning prediction algorithm, which calculates and predicts the time
required for producing inventory, automatically correcting the prediction over time.
Data Visualization: Generated and visualized statistical reports by simplifying complex data,
providing key insights to business users that improved the decision-making strategy.

TeamworkCommunicationMachine LearningDeep Learning

Accenture

2 roles

Application Development Analyst

Promoted

Dec 2019 – Apr 2020 · 4 mos

Data Pipeline: Executed data cleaning to combine the raw unstructured data through ETL
workflows and PL/SQL stored procedures, streamlined the pipeline to minimize errors.
BI data-warehousing tool: Generated new mappings in Informatica and DBMoto using
feature engineering, that transformed and filtered out around 1+ pb of transactional records.
Unix: Designed UNIX scripts for automating data transfer load that increased the efficiency of
the task, eliminating data flow issues, and reducing the throughput time to 1 hour.
ML: Engineered an insurance fraud detection model to identify and flag fraudulent claims

JavaETL ToolsData EngineeringInformaticaTeamworkPL/SQL+5

Associate Software Engineer

Oct 2017 – Nov 2019 · 2 yrs 1 mo

TeamworkCommunication

Cfees lab, drdo (indian government defence organisation)

Internship

Jan 2017 – May 2017 · 4 mos

MATLAB: Researched various computer vision algorithms and implemented computer vision
algorithms using PCA in MATLAB for real-time facial recognition in attendance systems.
Leadership: Led a team of 3 people, supervised and delegated tasks to everyone, in addition
to the technical handling of the project.

PCATeamworkCommunicationMachine LearningComputer VisionMATLAB+1