Rutik Pol

Software Engineer

Pune, Maharashtra, India3 yrs 9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in designing efficient backend architectures.
Achieved 93% cost reduction in AWS processing.
Developed high-performance machine learning solutions.

Stackforce AI infers this person is a Backend Software Engineer with expertise in FinTech and Machine Learning.

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Skills

Core Skills

Artificial Intelligence (ai)Back-end Web DevelopmentMicroservicesCloud ComputingMachine LearningDistributed Systems

Other Skills

Large Language Models (LLM)JavaSoftware DesignAWSRedisSQSApplied Data ScienceDeep LearningHigh Performance Computing (HPC)Edge ComputingComputer VisionFinTechSoftware DevelopmentProblem SolvingData Structures

About

Seasoned Backend Software Engineer with a passion for crafting robust, scalable systems! I thrive on designing efficient architectures, optimizing performance, and tackling complex backend challenges. I’m dedicated to building backend solutions that drive seamless user experiences and powerful functionality!

Experience

3 yrs 9 mos

Total Experience

2 yrs 8 mos

Average Tenure

1 yr 1 mo

Current Experience

Finfactor

Software Engineer

Mar 2025 – Present · 1 yr 1 mo · Pune, Maharashtra, India · On-site

Artificial Intelligence (AI)Large Language Models (LLM)

Paytm

Software Engineer

Jul 2022 – Mar 2025 · 2 yrs 8 mos · Pune, Maharashtra, India

Designed and developed REST APIs, distributed, containerized backend system, and microservices.
Redesigned cron architecture, reducing costs by 93% through AWS Batch Processing.
Implemented a robust rate limiter using Redis and SQS, achieving a 99.9% success rate.
Reduced response time by 30% using RPC and asynchronous processing.
Decomposed large monoliths into event-driven microservices without impacting existing features.
Contributed to products including Payments, MF Reports, SIP, Lumpsum and LAMF.

JavaSoftware DesignBack-End Web DevelopmentMicroservices

Nvidia

Applied Data Science Intern

Sep 2021 – Jun 2022 · 9 mos

Accelerating ML/DL Model Development, MLOps & Inference.
Designing & Developing E2E Distributed ETL, Training, Testing & Inference Pipelines.

Applied Data ScienceArtificial Intelligence (AI)Machine Learning

Cdac

SDE Intern

Jul 2020 – Sep 2021 · 1 yr 2 mos

Developed Deep Learning based Network Slicing for QoS & 5G drone clusters.
Achieved 63% performance boost in HPC systems by leveraging cache & shared memory.
Designed Edge Computing strategies to bridge the gap b/w IoT devices & Cloud using MPI & caching; achieved 79% latency improvements.
Designed, Developed & Deployed an Occluded Face, Mask & Emotion Detection System with 98% accuracy.
Developed an I/O logging & monitoring module for High-Speed Storage devices.

Distributed SystemsMachine Learning