Priyanshu Roy — Software Engineer

Hi 👋🏻 I am Priyanshu, a 2024 Computer Science graduate from Birla Institute of Technology, Mesra. My journey in Competitive Programming, starting in my first year, has been instrumental in honing my problem-solving skills. I have competed in esteemed competitions such as Google Codejam, Meta HackerCup, and ICPC, where I secured notable ranks, including 56th in ICPC Amritapuri Regionals and Expert on Codeforces. With a strong foundation in Backend Development, I have successfully delivered multiple projects that demonstrate my technical expertise and dedication. Recently, I have been exploring Generative AI, where I’ve built applications from scratch and gained valuable hands-on experience. My participation in hackathons like TechGig Code Gladiators and Coderush 3.0 has further sharpened my skills in collaboration and innovation under pressure. In the cloud domain, I have worked with AWS and GCP services, containerization tools like Docker, and databases like Postgres, MongoDB, and Supabase. I specialize in building scalable solutions and integrating cutting-edge technologies, including LLMs and Responsible AI principles. Key Achievements: Finalist: TechGig Code Gladiators and Coderush 3.0 Hackathon by Indus Valley Partners 499th Rank: CodeKaze by Coding Ninjas (out of 2L participants) 56th Rank: ICPC Amritapuri Regionals 130th Rank: Credit Suisse Global Coding Challenge 184th Rank: Meta HackerCup Qualification Round 2022 387th Rank: Codeforces Round 802 | 973rd Rank: Google Kickstart Round B 28th Rank: CodeChef September Cookoff | 942nd Rank: CodeChef Snackdown Pre-elimination Expert on Codeforces and 4-Star on CodeChef Currently, I am working as a Backend Software Engineer at Myntra, contributing to building the Monetization of Ads Platform. I mostly work with Java, Spring, Springboot and Hibernate. Let’s connect and explore opportunities to innovate together!

Stackforce AI infers this person is a Backend Engineer with expertise in AI/ML and cloud technologies.

Location: Bengaluru, Karnataka, India

Experience: 2 yrs 3 mos

Skills

Java
Spring Boot
Python
Aws

Career Highlights

Expert on Codeforces and 4-Star on CodeChef
Finalist in multiple prestigious hackathons
Strong foundation in Backend Development and Generative AI

Work Experience

Myntra

Software Engineer(Backend Engineer) (1 yr 3 mos)

Genpact

Business Analyst (Software Engineer) (7 mos)

R&D AI and ML Intern (5 mos)

Remotasks

AI Trainer (3 mos)

Education

Bachelor of Technology - BTech at Birla Institute of Technology, Mesra

at Delhi Public School Patna

Priyanshu Roy

Software Engineer

Bengaluru, Karnataka, India2 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert on Codeforces and 4-Star on CodeChef
Finalist in multiple prestigious hackathons
Strong foundation in Backend Development and Generative AI

Stackforce AI infers this person is a Backend Engineer with expertise in AI/ML and cloud technologies.

Contact

Skills

Core Skills

JavaSpring BootPythonAws

Other Skills

API TestingAWS ECRAWS Identity and Access Management (AWS IAM)AWS LambdaAlgorithmsAmazon BedrockAmazon CloudWatchAmazon EC2Amazon EKSAmazon LexAmazon VPCAmazon Web Services (AWS)Android DevelopmentApache AirflowApache Kafka

About

Experience

2 yrs 3 mos

Total Experience

1 yr 1 mo

Average Tenure

1 yr 3 mos

Current Experience

Myntra

Software Engineer(Backend Engineer)

Mar 2025 – Present · 1 yr 3 mos · Bengaluru, Karnataka, India · Hybrid

Team: Myntra Ads Platform
Designed and implemented backend RPCs using Java and Spring Boot for the Reporting Service, enabling sellers to access campaign and product analytics with search, pagination, and column-based sorting.
Defined robust API contracts using gRPC and performed end-to-end unit and integration testing with JUnit and Mockito to ensure reliability and maintainability.
Developed reporting download RPCs supporting date-based filtering, field selection, and pagination; persisted report metadata such as type, status, and filters in MySQL.
Optimized backend performance using multithreading, reducing response latency by 40% and improving throughput under high load.
Exposed metrics via Spring Boot Actuator and visualized them on Grafana dashboards through Prometheus for real-time monitoring and alerting.

JavaSpring BootMavenREST APIsAPI TestingDocker+11

Genpact

2 roles

Business Analyst (Software Engineer)

Jul 2024 – Feb 2025 · 7 mos · Bengaluru, Karnataka, India · On-site

Team: AI/ML Practice team(Recognized as one of the best Firms for Data Scientists to Work For)
Built a secure platform for interacting with LLMs, integrating Responsible AI principles to process confidential data across image and text modalities, ensuring compliance with ethical AI standards. This enabled clients to leverage LLMs while maintaining data privacy and integrity.
Designed and implemented an AI Observability platform, enabling clients to evaluate LLM-based applications using key performance metrics derived from user queries and ground truths. Leveraged Apache Kafka, Celery, Prometheus, and Grafana to provide real-time monitoring, improving model transparency and fine-tuning capabilities.
Developed and automated the Messaging Insights platform, creating both backend and frontend components, and deployed the solution on GCP using Cloud Run for scalable and seamless performance.
Created reusable assets for an Agentic AI framework, empowering clients and stakeholders to assess AI use cases from both business and technical perspectives. This standardized framework accelerated AI adoption and improved solution efficiency.

GitSQLPython (Programming Language)FastAPIAWS LambdaFlask+14

R&D AI and ML Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · On-site

Built a robust Retrieval Augmented Generation pipeline, incorporating core NLP techniques for entity and relationship extraction. Built a Knowledge Graph on AWS Neptune using Gremlin query language.
Automated the generation of knowledge graphs via AWS Lambda in combination with Chroma vector database, utilizing a set of PDF documents as input, and assessed performance using Tonic.ai.
Implemented AWS PrivateLink to establish seamless connectivity between two VPCs. Also, fine-tuned various Large Language Models (LLMs) including GPT-2, LLAMA3, and Google GEMMA7b using company data.
Automated the creation of pods on an Amazon EKS Cluster programmatically using Lambda functions triggered by events from an S3 bucket.

Python (Programming Language)Amazon Web Services (AWS)LangChainTonic.aiMicrosoft AzureGPT-4+7