Subbhashit Mukherjee

Software Engineer

Bengaluru, Karnataka, India8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

700+ LeetCode problems solved with a max rating of 1900.
Hands-on experience with AWS tools and Azure DevOps.
Internship at Amazon focused on RAGs and LLMs.

Stackforce AI infers this person is a SaaS-focused software engineer with expertise in cloud engineering and machine learning.

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Skills

Core Skills

Cloud EngineeringSoftware DevelopmentMachine LearningData Engineering

Other Skills

AWS BatchAWS Identity and Access Management (AWS IAM)AWS LambdaAWS SageMakerAmazon AthenaAmazon EC2Amazon Elastic Container Registry (ECR)Amazon EventBridgeAmazon RDSAmazon RedshiftAmazon Relational Database Service (RDS)Amazon S3Amazon SQSApache AirflowBootstrap

About

🚀 MTech CSE | IIIT Bangalore 💻 700+ LeetCode Problems | Max Rating: 1900 🧠 Strong CS Fundamentals – OOPS, OS, DBMS, CN 🧪 Intern @ Amazon | Worked on RAGs & LLMs ☁️ Hands-on with AWS Tools & Azure DevOps Completed MTech in Computer Science from IIIT Bangalore. I bring a solid foundation in core CS subjects and a passion for problem-solving, demonstrated through my active participation in coding platforms like LeetCode. During my internship at Amazon, I worked on cutting-edge projects involving Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs). I also have hands-on experience in building scalable software solutions using Python/Java and cloud platforms like AWS and Azure. Always open to learning, collaboration, and exciting opportunities in software development, machine learning, and cloud engineering. Let’s connect! 💼🤝

Experience

Kotak mahindra bank

Associate III - Software Engineering

Jul 2025 – Present · 8 mos · Bengaluru, Karnataka, India · On-site

Added partition support in Redshift-to-S3 data transfer constructs, enabling optimized and parallelized file migration from Amazon Redshift to Amazon S3 using Airflow which helped onboard 5 new customers.
Enhnaced time-series table creation framework with user-defined granularity in our Spring Boot app, automated via Amazon EventBridge and AWS Batch. Developed JUnit and Mockito tests, achieving 100% coverage.
Engineered S3-to-S3 file cloning support using AWS Lambda with integrated SQS and DLQ handling.
Integrated PagerDuty and SNS to raise alerts automatically if messages land in the DLQ.
Designed SageMaker constructs to trigger and monitor SageMaker pipelines, reducing manual effort by 90%.
Designed an EMR metadata capture schema and enhanced EMR constructs to capture execution and Airflow operator details using AWS SQS.
Created generic DAGs to execute multiple SQL queries on RDS, Athena, and Redshift with configuration-based triggers and automated email delivery of query results in CSV format.

AWS LambdaAmazon S3Amazon RedshiftApache AirflowSpring BootAmazon EventBridge+5

Amazon

Applied Scientist

Jan 2025 – Jun 2025 · 5 mos · Hyderabad, Telangana, India · On-site

Designed a metadata extraction system using LLMs to capture table names, column names, and column
values from SQL queries, enabling downstream correction workflows
Enhanced an enterprise-grade chatbot by integrating Retrieval-Augmented Generation (RAG) to convert
natural language into optimized SQL queries using multiple internal knowledge bases.
Created an adaptive correction agent using the Converse API to autonomously validate and refine chatbot
responses, ensuring consistently accurate SQL query outputs.
Increased overall chatbot accuracy by 13% and relevance by 19% through the integration of Judge LLM.

Large Language ModelsRetrieval-Augmented GenerationSQLChatbot DevelopmentMachine LearningSoftware Development

Enalito - ai personalization & growth app for d2c brands

Data Engineer

Apr 2021 – May 2021 · 1 mo · Bengaluru, Karnataka, India

Worked on RFM Analysis for customer segmentation.
Worked with various aggregation Techniques in Mongo

MongoDBData Analysis

Missioned

Web Developer

Sep 2020 – Oct 2020 · 1 mo · Bengaluru, Karnataka, India

Made and suggested UI/UX designs for the website.
Made landing and mainstream pages using React and Bootstrap.

ReactBootstrapUI/UX Design

Naaniz

Machine Learning Engineer

Jul 2020 – Aug 2020 · 1 mo · Bengaluru, Karnataka, India

Scrapped textual and image data from various websites,using beautifulsoup ,urllib, requests and selenium.
Performed time series forecasting using various algorithms and models like LSTM ,GRU ,SARIMAX and FBProphet

Web ScrapingData Forecasting