Nitin Pasricha

Software Engineer

Panipat, Haryana, India2 yrs 10 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Improved query performance by 25% in Next-Gen Segments.
Reduced report generation time by 50% for Email Campaigns.
Developed scalable systems for 10M+ customers.

Stackforce AI infers this person is a Backend Engineer specializing in MarTech solutions with a focus on scalable systems.

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Skills

Core Skills

Ruby On RailsDatabase Management System (dbms)

Other Skills

AI developmentAgile MethodologiesAlgorithmsBitbucketCascading Style Sheets (CSS)Data StructuresEngineeringGitGoogle Cloud Platform (GCP)GrafanaHTML5IBM WatsonJavaScriptJiraMicrosoft Azure

About

Backend Engineer specializing in designing, implementing, and optimizing scalable systems with a data-driven approach. Over the past 2 years at Maropost, a leading SaaS platform in the MarTech space, I’ve worked on a wide range of backend challenges — from building systems from scratch to optimizing processes that handle millions of data points. Key contributions: - Engineered query optimizations in NextGen segments, improving runtime performance by 25%. - Refactored and streamlined logic for Email Campaigns’ custom reports, reducing generation time by 50%. - Leading the development of an eRFM report generator, architected to handle and consolidate purchasing histories for over 10 million customers per client account — with a focus on efficient data handling at scale. I enjoy working on scalable systems, solving real-world problems, and continuously expanding my technical skillset. I’m always open to exploring new opportunities and connecting with like-minded professionals in the tech space. Let's connect!

Experience

2 yrs 10 mos

Total Experience

2 yrs 10 mos

Average Tenure

2 yrs 10 mos

Current Experience

Maropost

3 roles

Software Engineer

Promoted

Apr 2025 – Present · 1 yr 2 mos

RubyRuby on RailsMySQLGoogle Cloud Platform (GCP)RedisPostgres+10

Associate Software Engineer

Jul 2023 – Mar 2025 · 1 yr 8 mos

Actively involved in the design and development of systems from the ground up, including architectural planning, approach definition, and performance optimization.
Took on substantial responsibilities in the successful launch of Next-Gen Segments, contributing to architectural design, benchmarking, and query optimization — resulting in a 25% improvement in execution performance.
Refactored core logic for Email Campaigns Custom Reports, achieving a 50% reduction in report generation time through efficient query restructuring and logical improvements.
Developed an AI-powered "Build with AI" feature, allowing users to generate segments via natural language prompts. Used OpenAI to interpret prompts and auto-populate query filters with a fine-tuned model, reducing manual selection and improving user experience.
Led the development of a scalable eRFM report generation engine, designed to process and consolidate purchasing histories for 10M+ customers per client, enabling advanced customer segmentation and analytics at scale.

RubyRuby on RailsMySQLGoogle Cloud Platform (GCP)RedisPostgres+12