Arya Sekhar Bandopadhyay

Software Engineer

Noida, Uttar Pradesh, India4 yrs 5 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Delivered high-quality software solutions at Microsoft.
Improved report generation time by 43% at Arcesium.
Mentored hundreds of students in software development.

Stackforce AI infers this person is a Software Engineer specializing in SaaS and backend development.

Contact

Skills

Core Skills

Back-end Web DevelopmentSqlJava DevelopmentPython

Other Skills

AlgorithmsAngularJSArtificial Intelligence (AI)C#C++Cascading Style Sheets (CSS)Data AnalyticsData StructuresData VisualizationDeep LearningFull-Stack DevelopmentJavaScriptMacMachine LearningMongoDB

About

With a postgraduate degree in computer software engineering and a passion for innovation, I am a Software Engineer at Microsoft, where I deliver high-quality software solutions. I joined Microsoft in February 2024, after working for over two years at Arcesium, a leading provider of technology and services for the asset management industry. At Arcesium, I started as a Software Engineer in September 2021 and was promoted to a Senior Software Engineer in July 2023. I developed and maintained scalable and robust backend applications using Java, Python, and MongoDB, and contributed to the design and architecture of the software systems. I also implemented machine learning algorithms and models to enhance the performance and accuracy of the software solutions. I received multiple recognitions and awards for my outstanding work and collaboration skills. Additionally, I was an evangelist and mentor at Bosscoder Academy, an online platform that teaches coding and software development to aspiring learners. There, I shared my expertise in machine learning, full-stack development, and object-oriented programming, and helped hundreds of students achieve their learning goals. I am always eager to learn new technologies and frameworks, and to collaborate with other talented and diverse professionals in the software engineering field.

Experience

Microsoft

Software Engineer

Feb 2024 – Present · 2 yrs 1 mo · Noida, Uttar Pradesh, India · On-site

Project : Change Management and Deployment for SharePoint Core under ODSP
Designed and implemented resilient alerting and auto-healing systems for Deployment Trains, improving product stability and reducing downtime by 25%.
Created and deployed comprehensive Dashboards for live monitoring of VM health and deployment metrics, boosting operational efficiency and cutting troubleshooting time by 30%.
Played a key role in the Proof of Concept for shared SQL Pods, lowering COGS by 16% and optimizing resource distribution across environments.
Improved alerting systems for General Update Trains and SQL Deployment Trains, resulting in quicker issue response and a 20% reduction in incident resolution time.
Developed HDE as a PR scanner to detect hard-coded configurations that could break multi-cloud scenarios, breach data boundaries, and introduce security vulnerabilities.
Contributed to a Proof of Concept (POC) for an AI-powered Central Locking System, streamlining activity locks and enabling gesture support across VMs, effectively reducing gesture starvation

AlgorithmsBack-End Web DevelopmentC++Data StructuresSQLC#

Arcesium

2 roles

Senior Software Engineer

Promoted

Jul 2023 – Jan 2024 · 6 mos · Hyderabad, Telangana, India

The Expenses Management System generates allocation rules from General Ledger and Timetracker data, ensuring accurate monthly expense distribution.
Worked on decoupling the application from interconnected databases, including complex Profit and Loss statements across hedge funds.
Improved report generation time by 43% for Business Units and Project Centers, optimizing fund allocation by implementing caching and removing cross-database dependencies.
Transformed SQL procedural code into efficient service APIs, enabling smooth integration of monthly fund allocation
data for investor chargeable entries.

Python (Programming Language)Java DevelopmentPython

Software Engineer

Sep 2021 – Jul 2023 · 1 yr 10 mos · Hyderabad, Telangana, India

Timetracker is a web application automating time tracking for employees, integrating data into the Expense Management System
for improved resource allocation.
Led the development of TimeTracker, allowing precise tracking and editing of employee time allocations.
Separated TimeTracker from the Expense Management System, removing cross-database interactions, improving efficiency by 10%.
Streamlined logic to generate detailed reports offering insights into employee time allocations at various levels.

Bosscoder academy

Evangelist / Mentor

Oct 2021 – Feb 2023 · 1 yr 4 mos · India · Remote

Saleassist.ai

Product Strategy and Software Developer

Mar 2021 – Jul 2021 · 4 mos · India

Functioned as a Software Developer and Product Manager at SaleAssist.ai, interacting with clients, prioritizing features, and managing tickets.
Developed AI Chatbot and Call Scheduling features, earning accolades from Founders and colleagues.
Migrated database to PostgreSQL, set up caching with Redis, and reduced server load by migrating Short polling APIs to Server Side Events.

Gaius networks

Full Stack Developer Intern

Jul 2020 – Oct 2020 · 3 mos · India

Developed and implemented a prediction model to analyze USA election-based Tweets, contributing to accurate election result detection.
Enhanced Gaius App backend by creating CRUD API's, facilitating seamless connectivity among hyperlocal communities.
Played a key role in doubling the app userbase to 10,000 by introducing innovative features.

Redfox labs

Product Strategist and Data Science

Mar 2020 – Jul 2020 · 4 mos · India

Conducted in-depth market study and competitor analysis for Statista, leading to the inclusion of novel features.
Gathered feedback through client interviews for an NFT gaming project, resulting in feature modifications and additions to maintain market saturation.
Developed presentations for comparative analysis of offerings against competitors.

Srm university

Machine Learning Researcher

Jan 2020 – May 2021 · 1 yr 4 mos · SRM Research Lab

Collaborated with researchers from SRM Institute of Science and Technology and Kent University to present award-winning paper on Cyber Crime Hotspots detection using Unsupervised approaches.
Led project on Delinquent Profile detection using OSINT Techniques, resulting in valuable insights for the team.
Developed strong research and collaboration skills while working at SRM Research Lab.

Ovonts

Data Engineering Intern

Nov 2019 – Jan 2020 · 2 mos · Kolkata Area, India

Analyzed customer browsing behavior to enhance recommendation algorithm for influencers on media management platform.
Developed script to convert PostgreSQL backend to CSV for qualitative analysis and customer clustering model creation.
Utilized Scikit Learn, Numpy, Pandas for data preprocessing and analysis.