Samriddhi Singh

Software Engineer

Bengaluru, Karnataka, India6 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building high-volume data systems.
Proven track record in optimizing data processing frameworks.
Passionate about mentoring and fostering a collaborative culture.

Stackforce AI infers this person is a Backend and Data Engineer specializing in SaaS and data-intensive applications.

Contact

samriddhi@motorq.co +919131686769 LinkedIn

Skills

Core Skills

Backend EngineeringData EngineeringData Science

Other Skills

API DevelopmentAlgorithmsApache KafkaBootstrapC++Cascading Style Sheets (CSS)Data AnalysisData CleaningData ProcessingData StructuresEvent HubGitHTMLIcebergJava

About

Heylo! I'am a Backend and Data Engineer with a passion for building high volume data systems. My daily work focuses on the architecture behind the scenes, creating ingestion pipelines and processing frameworks that allow data to move fast and accurately. Joining my current team as the 7th engineer gave me the unique opportunity to wear many hats and own complex modules from scratch. I’ve spent the last five years in this fast-paced startup environment where "scaling up" is a daily requirement. I enjoy the rigor of backend engineering and the continuous learning required to keep up with how we process data. I’m currently diving deeper into AI to understand how we can build smarter, more autonomous systems. I also believe that a senior role is as much about people as it is about technology. I actively enjoy mentoring others and helping build a culture where we write clean code and learn from each other's mistakes. When I'm away from the keyboard, you’ll likely find me traveling or planning my next trip. Feel free to reach out!

Experience

6 yrs 1 mo

Total Experience

3 yrs

Average Tenure

5 yrs 5 mos

Current Experience

Motorq

3 roles

Software Engineer

May 2021 – Present · 5 yrs 1 mo

Software Development Intern

Jan 2021 – May 2021 · 4 mos

Developed the Vehicle Capability Checker API, reducing onboarding decision time from days to minutes.
Created a real-time geofence detection system, enabling instant notifications for user-defined boundaries.
Optimized the detection pipeline, improving latency by 98%, supporting over 100K concurrent vehicles.

API DevelopmentReal-time SystemsData ProcessingBackend EngineeringData Engineering

Software Engineer Intern

Apr 2020 – Jun 2020 · 2 mos · Chennai, Tamil Nadu

Studied and analyzed the various cost-functionality trade-off of eventhub and kafka on hdInsight.
Tested the quality of kafka (azure eventhub) as a data source for customers on the basis of various factors and optimized the test speed.
Created an API for estimating the downtime % of all the customer APIs in Node js and integrated it to a single page application
Redesigned the single page application by using a common pipeline configuration

Event HubKafkaAPI DevelopmentData Engineering

Indian institute of technology (banaras hindu university), varanasi

Summer Research Intern

May 2019 – Jul 2019 · 2 mos · Varanasi, Uttar Pradesh, India

Developed an automated epilepsy detection system by analyzing non-stationary EEG signals to identify seizure patterns.
Executed extensive data cleaning and pre-processing, ensuring data integrity through band-pass filters and feature normalization.
Conducted comparative tests with models like Random Forest and SVM to evaluate performance on high-dimensional data.
Enhanced model accuracy using a Hybrid SVM approach with Genetic Algorithms and PSO, achieving peak classification performance.

Machine LearningData CleaningModel EvaluationData Science

Codechef

Core Committee member

Dec 2017 – Aug 2018 · 8 mos · Vellore Area, India

As a Core Committee member at CodeChef, I played a pivotal role in fostering a culture of learning and innovation. I organized technical workshops and mentored junior members, ensuring they gained valuable skills. Additionally, I led hackathons and various technical projects, driving them to successful completion and encouraging collaboration among participants.