Arpit Shrivastava

Software Engineer

Bengaluru, Karnataka, India4 yrs experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 3+ years of experience in backend engineering.
  • Expertise in building scalable microservices.
  • Open-source contributor focused on backend architecture.
Stackforce AI infers this person is a Backend Engineer with a strong focus on Fintech and Data Science.

Contact

Skills

Core Skills

MicroservicesApplication ArchitectureData Science

Other Skills

ASP.NETApache CamelArtificial Intelligence (AI)C#C++Cascading Style Sheets (CSS)Civil EngineeringClusteringCricketData AnalysisDeep LearningEditingEmbedded JavaScript (EJS)Express.jsFull-Stack Development

About

Backend Engineer with 3+ years of experience building scalable microservices using Java and Spring Boot. Proficient in PostgreSQL, Redis for caching, Kafka for event-driven systems, and Quartz Scheduler for background task orchestration. Open-source contributor with a focus on backend architecture and distributed systems.

Experience

Dp world

Software Engineer

Jul 2022Present · 3 yrs 8 mos · Bengaluru, Karnataka, India · Hybrid

  • Built scalable microservices and integration systems for finance and logistics using Java, Spring Boot, ASP.NET Core, PostgreSQL, Redis, Kafka, Quartz Scheduler, and Apache Camel.
  • 1) Designed a Kafka-based Finance Orchestrator handling 200+ TPS with dynamic topic provisioning.
  • Implemented centralised Redis caching (350 TPS) with ASP.NET parallel thread pooling, improving response time by 30%.
  • 2) Developed AR/AP workflows with optimised DB queries, high concurrency handling, and 15% better processing efficiency.
  • 3) Led EDI integrations through FTP uploads using Apache Camel for payload interconversion (JSON/XML/EDI) for clients in China and South Korea.
  • 4) Built Quartz-scheduled batch jobs, Kafka-driven retries, and 300+ JUnit/Mockito tests, reducing bugs by 40%.
JavaSpring BootPostgreSQLRedisKafkaQuartz Scheduler+3

I'mbesideyou inc.

Data Science Intern

Jun 2021Aug 2021 · 2 mos · Tokyo, Japan · Remote

  • Built deep learning models (LSTM) to predict online class effectiveness using time-series features like facial emotion shifts, gaze direction, and speech activity from OpenFace-extracted data.
  • Engineered multimodal features (e.g., student nodding, emotion shifts during Active/Passive interaction) and applied clustering to validate feature importance in class quality classification.
  • Deployed full ML pipeline, including preprocessing, training (model.h5), and prediction scripts, achieving 63% accuracy and reducing dimensionality via PCA (80% variance with 20 components).
Deep LearningLSTMTime-Series AnalysisClusteringPCAData Science

Practically

Data Science Intern

Jan 2021Apr 2021 · 3 mos · Hyderabad, Telangana, India

  • Dealing with research papers, massive datasets, procuring and cleaning a wide variety of datasets and finding ways to
  • make sense of inconsistent results, errors and missing information.
  • Working on the recommendation system model which recommends students/users the question to enhance their learning
  • speed as well as quality.
  • Research on use cases like concept explanation using augmented reality and text to speech recognition.

Spinny

Data Analyst - Customer Experience

Oct 2020Dec 2020 · 2 mos · Delhi, India

  • Worked as a Data Analysts in Customer Experience team to enhance the experience of customers of spinny.
  • Data analyzed included feedbacks and responses of customers at various points of interaction including website, walk in, phone calls.
  • Worked on 4 projects
  • 1) Auditing Inspection process,
  • 2) RC transfer,
  • 3) User persona and
  • 4) Breach in customer feedbacks.
  • Work demanded analysis of few MB's of data from Delhi NCR, bangalore, pune and Hyderabad to draw conclusive pointers in order to leverage processes and working of spinny as a team and then advising product team to implement or introduce changes.

hoggy by litifer

Data Science Research Intern

Aug 2020Oct 2020 · 2 mos · Gurugram, Haryana, India

  • ML/AI internship at Litifer for 2 months.
  • Developed an intelligent tutoring system(ITS) and deployed the model integrating it with the backend of Hoggy (Mobile Application and website) using Node. Deployed model runs on the AWS cloud services.
  • Bayesian knowledge tracing, RNN & LSTM were used in the model to trace the learning of each knowledge concept (KC).
  • Item Response Theory (IRT) was used for developing an adaptive learning system which defines the shortest learning path for every student by asking questions to the students according to their past performance in the KC.
  • Research and implementation of code from scratch, building POC and further implementation on it including the formation and testing of algorithms.

National social summit, iit roorkee

Event Manager

Dec 2019Feb 2020 · 2 mos · Roorkee, Uttaranchal, India

  • Worked as a manager in annual Social extravaganza of IIT Roorkee (National Social Summit'20) in Events Vertical.
  • Organized several events among which major ones are "Policy Making Competetion", "Social Hackathon", "Social Conclave", "B-Plan Competetion".
  • Content Head of Social Summit'20

Indian institute of technology, roorkee

Engineering Student

Nov 2019Dec 2019 · 1 mo · Roorkee Sub-District, Uttaranchal, India

  • To track the progress and propose Engineering solutions for the implementation of Government schemes like
  • (i) Integrated housing and slum development program
  • (ii) Swachh Bharat mission
  • Conducted a Geomatics survey
  • (i) Used Total Station (TS) and GPS for collecting data points further processed in ArcGIS.
  • (ii) Measured road and sewer sizes along with housing scheme to identify implementation of governmental schemes.
  • Application of ArcGIS for
  • (i) Road Maps- laid maps of complex road connectivity of a slum area (khanjarpur) of Roorkee.
  • (ii) Sewerage networks - proposing a gravity-induced drainage network.

Ahec department, iit roorkee

Research Engineer

Sep 2019Jan 2020 · 4 mos · Roorkee, Uttaranchal, India

  • Biomass gasification | AHEC -IIT Roorkee
  • ● Simulation modelling and technical improvement of the Biomass gasification process.
  • ● Project focuses on saving Uttrakhand forest from natural fires, targeting SDG15.
  • Biomass Digestion | AHEC- IIT ROORKEE
  • ● Economic and functionality analysis of PROM production from digestion of cow dung using IRSEA units.
  • ● Life Cycle Assessment (LCA) of biomass digestion and Bio-PROM production.

Education

Indian Institute of Technology, Roorkee

Bachelor of Technology - BTech — Civil Engineering

Jan 2018Jan 2022

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