Parish Bindal

Software Engineer

South Delhi, Delhi, India1 yr 9 mos experience

Key Highlights

  • Expert in building scalable backend systems.
  • Proven track record in data engineering and machine learning.
  • Strong experience with microservices and cloud-native architectures.
Stackforce AI infers this person is a Backend Engineer specializing in Data Engineering and AI-driven solutions.

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Skills

Core Skills

MicroservicesBackend DevelopmentData EngineeringMachine Learning

Other Skills

Go (Programming Language)AWSKafkaData GovernanceData ArchitecturePythonCloudera HadoopSparkSQLResearchReinforcement LearningAlgorithmsC++ClouderaHadoop

About

I’m Parish Bindal, a Software Engineer with 3+ years of combined full-time and internship experience specializing in backend systems, data engineering, and AI-driven platforms. Currently at Spinny, I design scalable, event-driven systems powering large-scale logistics operations, intelligent workflow automation using LLMs, and high-throughput backend services handling thousands of vehicle movements monthly. Previously, at Lumeneo, I built and deployed distributed microservices in Golang for real-time computer vision and smart surveillance platforms, optimizing event streaming architectures with Kafka and reducing system latency by 60%. During my tenure at Intel’s High-Performance Computing division, I engineered big data pipelines processing millions of records daily, developed ML models for resource optimization, and built analytics dashboards that significantly improved operational visibility. With strong expertise in Python, Golang, distributed systems, Kafka, AWS, Kubernetes, Hadoop, and Spark, I thrive on building scalable architectures, automating complex workflows, and solving real-world performance challenges. I’m particularly passionate about AI systems, cloud-native engineering, and designing resilient backend infrastructures that drive measurable business impact.

Experience

1 yr 9 mos
Total Experience
11 mos
Average Tenure
--
Current Experience

Lumeneo.ai

Software Engineer

Aug 2024Jul 2025 · 11 mos · Hybrid

  • Experienced in building scalable microservices architecture for computer vision-based
  • surveillance systems, with a focus on creating alert mechanisms, user management, and
  • real-time streaming:
  • Developed a computer vision platform for surveillance, focusing on real-time alert
  • generation.
  • Created and deployed various microservices using the Golang Gin framework for
  • critical features like user management, authentication, project and site management,
  • and real-time streaming.
  • Designed and implemented AWS S3-based storage solutions and deployed services on
  • EC2 instances using Docker containers.
  • Integrated Kafka for efficient data streaming and event processing within the system.
  • Utilized SQL databasesfor user and system data storage, ensuring secure and
  • optimized querying.
  • Contributed to the development of a centralized dashboard for monitoring streams
  • and system activities.
  • Developed common utilities and workflow management services for seamless
  • integration and operational efficiency .
Go (Programming Language)MicroservicesBackend Development

Intel corporation

Software Development Engineer

Aug 2023Jul 2024 · 11 mos · Bengaluru, Karnataka, India · On-site

  • HPC : Data Engineering & Machine Learning - Python , Cloudera Hadoop, Bigdata,
  • Spark & Sqoop , Hive, MetaBase, SQL
  • Developed Python scripts for data collection, ingestion, and transformation of critical
  • HPC resource usage data, used for billing and future demand forecasting.
  • Processed millions of records daily from Netbatch, a job scheduler for batch and
  • interactive sessions, to optimize resource allocation and improve operational
  • efficiency.
  • Built scriptsfor data quality checks, ensuring data availability and early anomaly
  • detection across multiple datasets.
  • Maintained data for a retention policy of one year, ensuring historical accuracy and
  • availability of key metrics.
  • Collaborated with various teams to design and implement dashboards and
  • visualizations using toolslike MetaBase for real-time data insights and monitoring.
  • Led machine learning initiatives using models such as CatBoost and LSTM to
  • optimize job path storage in HPC environments, improving resource utilization.
  • Gained experience with enterprise-level job scheduling and big data tools, including
  • Cloudera Hadoop, Spark, Sqoop, Hive, and SQL.
Data GovernanceData ArchitectureData EngineeringMachine Learning

Birla institute of technology and science, pilani

Summer Research Intern

May 2022Jul 2022 · 2 mos

ResearchReinforcement Learning

Jaypee institute of information technology

Student Mentor

May 2022Jun 2022 · 1 mo · Noida, Uttar Pradesh, India

  • Guiding and Problem Solving class for student
  • Teaching Data Structure Algorithm and Coding practices.
AlgorithmsC++

Education

Jaypee Institute Of Information Technology

Integrated Btech + Mtech — Computer Science Engineering

Jul 2019Jun 2024

Machine Learning Bootcamp Google

Machine learning Deep Learning

Sep 2022Nov 2022

DAV Public School Jasola Vihar

SENIOR SECONDARY HIGH SCHOOL — PCM

Jan 2018Jan 2019

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