Dhananjay Daundkar

Software Engineer

Pune, Maharashtra, India2 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed robust CRUD APIs with top-notch security.
Achieved 20-25% better response time in API performance.
Applied advanced machine learning techniques for predictive modeling.

Stackforce AI infers this person is a Backend Developer with expertise in SaaS and Machine Learning.

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Skills

Core Skills

Node.jsApi DevelopmentMachine LearningData Analysis

Other Skills

AWS-SQSAgile MethodologiesAmazon S3Amazon Web Services (AWS)Analytical SkillsC (Programming Language)C++Cascading Style Sheets (CSS)Data CleaningData StructuresDecision Tree ClassifierError LoggingExplainable AIExpress.jsGit

About

👋 Hey there Currently, I'm doing a software internship at Honc where I use typescript and Mongodb to design & and write backend APIs. I did my masters in EECS at IISER Bhopal. I enjoy building and breaking products. My curiosity always helps me to learn new things. 💡 I've dived into diverse projects, and written robust CRUD APIs within MVC and monolithic designs. Crafting comprehensive unit tests, ensuring top-notch security via authentication(JWT), authorization, and even integrating message brokers are all in my wheelhouse. ☁️ Taking things sky-high, I've deployed my MVC project on AWS where I used Express and Node.js. Managing data is second nature – whether it's through ORMs, MySQL, or MongoDB. 🚀 Beyond academics, I adore tackling intricate data structures and algorithm problems on LeetCode. C++ is my trusty sidekick for conquering these challenges. Github Profile : https://github.com/dhananjayd1729 Portfolio : https://dhananjayd1729.github.io/d/ LeetCode Profile : https://leetcode.com/oldmonk05/

Experience

2 yrs 1 mo

Total Experience

1 yr

Average Tenure

Current Experience

Honc

SDE-I

Jun 2023 – Sep 2024 · 1 yr 3 mos · Hyderabad, Telangana, India · On-site

Added analytics section for pages which will give count of search appearances, visitors, as well as post impressions and overall engagement.
Incorporated AWS-SQS while getting the impressions or engagement overall to make sure we are not loosing count.
Built customised error logging mechanism for whole system.
Contributing for development of internal tools & customer-facing apps.
Built subscription-based business pages equipped with branches & service incorporation options, a user review section & features tailored to subscriptions.
Contributed to APIs of vital services for consumer-facing app where users book their services as per their needs.
Optimized services APIs to improve performance. Could achieve up to 20-25% better response time.

AWS-SQSError LoggingAPI DevelopmentPerformance OptimizationNode.js

Iiser bhopal

2 roles

Master Thesis Student

Promoted

Jul 2022 – May 2023 · 10 mos

Worked on professional Basketball match winner prediction.
Cleaned and processed data, applied Random forest, Logistic regression, Decision tree classifier, etc, with and without feature selection.
Used PCA, Chi-square & correlation-based feature selection methods.
Obtained accuracy of 71%. Interpreted the results given by models using SHAP & LIME frameworks as Explainable AI techniques are the least explored technique in current literature.

Data CleaningRandom ForestLogistic RegressionDecision Tree ClassifierSHAPLIME+2