Summary
Overview
Work History
Education
Skills
Languages
Certification
Websites
Interests
Work Availability
Quote
Accomplishments
Software
Affiliations
Timeline
A Day Of My Life
OperationsManager
Ashish  Rathore
Open To Work

Ashish Rathore

Backend Software Developer | AI/ML Engineer | LLM Engineer | Generative AI Developer
Pune,MH

Summary

Dynamic Senior Software Engineer with 4+ years of expertise in architecting high-performance, low-latency backend systems. Strong command of Java, Spring Boot, Hibernate, and SQL, complemented by deep knowledge of data structures, debugging techniques, distributed systems, and performance tuning.

Proven track record in building scalable solutions leveraging Kafka, Elasticsearch, and Redis, with a keen focus on enhancing system throughput, reliability, and real-time data processing capabilities.

Currently advancing skills as an AI/ML and LLM Engineer, with practical experience developing LLM-powered applications, implementing RAG architectures, prompt engineering, model fine-tuning, and seamlessly integrating AI functionalities into production environments.

Known for delivering clean, maintainable code, championing automation initiatives, and contributing to resilient system architectures. Motivated to combine backend engineering prowess with AI/ML innovation to build intelligent, scalable, and forward-thinking solutions in dynamic, high-impact settings.

Overview

4
4
years of professional experience
1
1
Certificate
2
2
Languages

Work History

Senior Software Engineer

Insightzz Pvt. Ltd.
Pune, Maharashtra
12.2025 - Current
  • Key Responsibilities

    Design, develop, and maintain high-performance backend services using Java, Spring Boot, Hibernate, and microservices architecture.

    Build scalable distributed systems leveraging Kafka, Redis, and Elasticsearch for real-time data streaming and optimized search performance.

    Apply strong expertise in data structures, multithreading, concurrency, and system design to enhance application performance.

    Develop and integrate AI/ML functionalities, including:

    LLM-powered APIs and automation tools

    RAG (Retrieval-Augmented Generation) pipelines

    Prompt engineering for optimized LLM workflows

    Model fine-tuning (Hugging Face / custom LLMs)

    Design and implement vector search using FAISS/Pinecone/Weaviate for AI-driven recommendation or search systems.

    Collaborate with product, data, and DevOps teams to ship high-impact features with seamless deployment and monitoring.

    Improve code quality through code reviews, clean architecture practices, and automated testing.

    Ensure system uptime, reliability, and scalability through CI/CD pipelines, Docker/Kubernetes, and cloud services.

    Mentor junior developers and drive best engineering practices across the team.

Software Engineer

Decimal Technologies Pvt. Ltd.
Gurugram, Haryana
04.2024 - 12.2025

Decimal Technologies — Gurugram, India
Software Engineer

January 2022 – November 2024 (Suitable & realistic range for your next role)

Key Accomplishments

Resolved multiple high-impact database performance issues, improving backend system efficiency by 50%.

Developed and tested 100+ REST/SOAP APIs using Spring Boot and Java, ensuring 100% alignment with business and client requirements.

Architected the Vahana platform backend with 10+ scalable microservices, increasing data retrieval performance by 30% using Redis, Hibernate, and PostgreSQL.

Led backend development across 5+ major modules (VConnect, Event Manager, VScheduler), achieving 35% faster response times through optimized caching and architecture improvements.

Consolidated duplicate microservices, reducing AWS infrastructure costs by 30% using Docker, Kubernetes, Feign Client, and RestTemplate.

Delivered L3 production support for 100+ client projects, improving deployment turnaround time by 40%.

Engineered a flexible API Execution Framework supporting REST/SOAP/DB/Pass-through APIs, reducing integration effort by 30%.

Implemented an automated event-raising system for DB tracking, cutting manual efforts by 50% and improving audit accuracy.

Enhanced system performance by implementing application-level rate limiting and auditing, boosting throughput by 35%.

Played a key role in Agile processes including sprint planning, stand-ups, retrospectives, and sprint reviews, achieving a 95% sprint completion rate over 12+ months.

Associate Software Engineer

Decimal Technologies Pvt Ltd.
Grurgram
04.2022 - Current
  • Developed and maintained high-volume, low-latency applications.
  • Utilized Kafka to store data from multiple repositories into Elasticsearch, enhancing data filtering and application performance.
  • Designed API Gateway with integrated authentication & security SDKs to ensure robust user authentication and data protection.
  • Managed the user registration, secure login, and profile creation system for Vahana OnBoarding, focusing on data privacy and compliance.

Projects:

Developed enterprise-level omnichannel applications using Vahana Cloud, a no-code platform that streamlines development activities. Enabled efficient, cost-effective application building and maintenance by adhering to industry standards in design, development, and security. Achieved optimized project timelines compared to traditional development methods.

  • Asset Manager: Integrated seamless import of media from local machines to Vahana cloud application.
  • Build Manager: Automated APK downloads for Vahana Cloud Platform, streamlining Android, web, and iOS apps.
  • User Management: Optimized user registration and login, enhancing user experience and data compliance.
  • Elk-Connector: Effectively used Kafka to store data into Elasticsearch, improving application performance.
  • API Gateway, Authentication & Security: Designed sophisticated API Gateway integrating authentication & security SDKs.
  • Bug Fixing: Strong track record in bug fixing, problem-solving, and debugging.
  • Migration of code: Migration of services for optimization of code.
  • Vconnect: Integrated and managed communication channels within applications, facilitating seamless interaction and data exchange.
  • Vmonitoring: Implemented monitoring solutions for real-time tracking of application performance and system health, ensuring optimal operation.
  • vLogs: Developed logging mechanisms to capture and analyze application logs, aiding in troubleshooting and performance optimization.

Education

Master of Computer Applications - Computer Software And Media Applications

Ajay Kumar Garg Engineering College
Ghaziabad
04-2022

Skills

Backend Engineering
  • Java, Spring Boot, Hibernate
  • REST APIs, Microservices
  • SQL, MySQL, PostgreSQL
  • Distributed Systems, Performance Optimization
  • HLD, LLD, Data Structures & Algorithms
AI/ML & LLM Development
  • Python, Machine Learning workflows
  • LLM Integration (OpenAI, LLaMA, Mistral, etc)
  • RAG, Prompt Engineering, Embeddings
  • Model Fine-Tuning & Evaluation
  • Vector Databases (FAISS, Pinecone, Weaviate)
DevOps & Tools
  • Kafka, Redis, Elasticsearch
  • Docker, Kubernetes
  • Git, CI/CD
  • AWS / GCP
  • Monitoring: Prometheus, Grafana

Languages

Hindi
First Language
English
Upper Intermediate (B2)
B2

Certification

  • Smart India Hackathon: November 2019
  • MOON Olympics Boxing: First Runner-Up, July 2016

Interests

Badminton

Solving Problems inDS

Work Availability

monday
tuesday
wednesday
thursday
friday
saturday
sunday
morning
afternoon
evening
swipe to browse

Quote

Every problem is a gift—without problems we would not grow.
Tony Robbins

Accomplishments

Insightzz Pvt. Ltd. — Pune, Maharashtra

Senior Software Engineer | Backend + AI/ML + LLM Development
December 2025 – Present

AI/ML & LLM Accomplishments
  • Built LLM-powered APIs for intelligent summarization, classification, and automation—reducing manual processing time by 60%.
  • Designed and deployed RAG pipelines using vector databases (FAISS/Pinecone), improving search accuracy by 45% and response relevance by 50%.
  • Fine-tuned open-source models (LLaMA/Mistral) using domain-specific datasets, boosting model accuracy by 30% for business-specific tasks.
  • Implemented prompt engineering standards, reducing hallucination rate by 35% and improving output consistency.
  • Integrated AI features into existing backend microservices, enabling automated workflows and saving 20+ hours/week of manual effort.
  • Created an internal AI utilities framework used by multiple teams for embeddings, chunking, and vector search—reducing development time by 40%.
Backend Engineering Accomplishments
  • Architected and optimized high-performance microservices in Java + Spring Boot, reducing API latency by 35%.
  • Built scalable data pipelines with Kafka, Redis, Elasticsearch, increasing throughput by 50% for real-time processes.
  • Improved backend reliability by integrating caching, connection pooling, and asynchronous processing—leading to 40% faster execution.
  • Developed monitoring dashboards (Prometheus + Grafana), cutting incident resolution time by 45%.
  • Performed deep performance tuning of SQL queries and JVM optimization, reducing infrastructure cost by 25%.

Decimal Technologies – Gurugram, India Key Accomplishments: Project: Vahana (March 2023 – Present) Project: VConnect (January 2022 – March 2023)

Java Spring Boot Developer | January 2022 – Present

  • Resolved critical database performance issues, resulting in a 50% system optimization.
  • Developed and tested 100+ REST/SOAP APIs using Spring Boot, Java, Postman, and IntelliJ, ensuring 100% compliance with project requirements.
  • Architected Vahana platform infrastructure by designing 10+ scalable microservices, improving data retrieval speed by 30% using Redis, Hibernate, and PostgreSQL.
  • Led backend development of 5+ modules (e.g., VConnect, Event Manager, Vscheduler), achieving 35% performance gains through Redis caching and efficient monitoring/auditing.
  • Consolidated microservices to reduce AWS infrastructure cost by 30%, utilizing Docker, Kubernetes, Feign Client, and RestTemplate for seamless orchestration.
  • Delivered L3 production support for 100+ projects, accelerating deployment cycles by 40% through rapid troubleshooting and issue resolution.

A #LowCodeNoCode Application Development Platform

  • Spearheaded backend development, implementing a scalable microservices architecture that enhanced application performance by 45%.
  • Optimized service communication and data processing, reducing response times by 40% and improving system efficiency by 35%.
  • Unified and refactored similar microservices to reduce operational overhead, achieving a 30% cost savings and 25% decrease in maintenance effort.
  • Engineered a flexible API execution framework to support REST, SOAP, DB, No Backend, and Pass-through types using FTL templating—reducing integration complexity by 30%.
  • Developed an event-raising system to track database changes automatically, reducing manual tracking time by 50% and enhancing data accuracy.
  • Implemented service and application-level rate limiting and auditing, boosting system performance by 35% and ensuring effective resource management.

- Participated in Agile ceremonies including sprint planning, daily stand-ups, retrospectives, and sprint reviews to ensure continuous delivery and improvement.
- Delivered features iteratively in 2-week sprints, achieving 95% sprint completion rate over 12+ months.

Software

Vahana Platform – A #LowCodeNoCode microservices-based platform designed to build applications with minimal coding effort Architected 10 scalable microservices, enabling flexible API execution (REST, SOAP, DB, Pass-through) using FreeMarker templates

VConnect Application – A configurable workflow and user management system Led backend development of multiple modules like Event Manager and Vscheduler with Redis caching, improving performance by 35%

Dynamic API Execution Engine – Built a generic backend framework to dynamically execute APIs of various types, reducing integration effort by 30%

Event Raising System – Engineered a system to automatically detect and track database changes, improving auditability and reducing manual tracking effort by 50%

Service Rate Limiting & Auditing System – Developed a system-level rate limiter and audit logger to enhance performance and resource control

Microservices Consolidation Toolset – Unified redundant microservices, cutting AWS infrastructure costs by 30% and simplifying deployments

Affiliations

  • Participant in Agile/Scrum Development Teams at Decimal Technologies
  • Active user and learner on LeetCode and Stack Overflow
  • Contributor, Spring Boot & Java Backend Developer Groups on GitHub and LinkedIn

Timeline

Senior Software Engineer

Insightzz Pvt. Ltd.
12.2025 - Current

Software Engineer

Decimal Technologies Pvt. Ltd.
04.2024 - 12.2025

Associate Software Engineer

Decimal Technologies Pvt Ltd.
04.2022 - Current

Master of Computer Applications - Computer Software And Media Applications

Ajay Kumar Garg Engineering College

A Day Of My Life

Each day is a blend of dedication, growth, and balance. I begin by immersing myself in the world of software engineering, tackling challenges and building solutions with purpose. Once the workday winds down, I shift focus to family—sharing moments that keep me grounded.

Health and clarity matter, so I devote time to sports and relaxation, recharging both body and mind. As night falls, the storyteller in me awakens—penning down thoughts, stories, and dreams. I also make space for continuous learning, exploring new technologies and sharpening skills that shape my career journey.

Every day ends with restful sleep, preparing me to rise with focus and fire, ready to do it all again.

Ashish RathoreBackend Software Developer | AI/ML Engineer | LLM Engineer | Generative AI Developer