Sumitav Acharya

Senior Software Engineer

Bengaluru, Karnataka, India6 yrs 11 mos experience
Highly Stable

Key Highlights

  • Led initiatives improving system reliability for 100M+ users.
  • Designed scalable cloud solutions for aerospace applications.
  • Developed innovative NLP chatbot for healthcare assistance.
Stackforce AI infers this person is a Backend-heavy Fullstack Developer with expertise in cloud services and system optimization.

Contact

Skills

Core Skills

JavaAmazon Web Services (aws)Node.jsPython (programming Language)Front-end DevelopmentNatural Language Processing (nlp)

Other Skills

AWS LambdaAgile MethodologiesAmazon LexAngularArchitectural DesignC (Programming Language)C++Cascading Style Sheets (CSS)Code ReviewCommunicationComputer VisionData MungingData Structures and AlgorithmsDatabase ManagementGeophysics

About

Software Development Engineer with experience building scalable, reliable and robust cloud based services. Skilled in optimising and designing solutions and improving system performance across large-scale applications. Interests: Solving real-world problems with clean code and simple architecture!

Experience

6 yrs 11 mos
Total Experience
2 yrs 10 mos
Average Tenure
6 mos
Current Experience

Prime video & amazon mgm studios

Senior Software Engineer

Dec 2025Present · 6 mos · Bengaluru, Karnataka, India · On-site

  • Prime Video, Core Encoding & Playback Systems

Amazon

Software Development Engineer 2

Apr 2025Present · 1 yr 2 mos · Bengaluru, Karnataka, India · On-site

  • Appstore @FireTV: Led key initiatives to improve system reliability, driving download/install success rate from 90% to 95% for 100M+ 𝐅𝐢𝐫𝐞𝐓𝐕 users globally
  • Revamped the "𝐄𝐚𝐬𝐲-𝐔𝐩𝐠𝐫𝐚𝐝𝐞" flow that efficiently restores previously installed apps with minimal user intervention and automatically backs them up during installations or scheduled periodic syncs.
  • Achieved a significant reduction of 𝟱-𝟴% in 𝗱𝗼𝘄𝗻𝗹𝗼𝗮𝗱 errors across multiple regions by introducing pre-emptive entitlement verification, eliminating irrelevant network calls to (purchase/download/install) PDI service.
  • Introduced app 'open button' metrics to address critical gaps in post-install analytics, enhancing tracking of app launch success and installation performance.
  • Orchestrated the integration of a new 𝐜𝐥𝐢𝐜𝐤-𝐬𝐭𝐫𝐞𝐚𝐦-𝐛𝐚𝐬𝐞𝐝 metrics system ensuring robust tracking of launch-ability across diverse AppStore flows i.e., Quick Subscribe, Auto-Download, Non-QS flows.
  • Built a POC leveraging LLM agents and in-house local MCP servers to automatically scan live service deployments and correlate them with real-time app engagement metrics, including app crashes, session drops, active user counts, and version adoption rates.
  • Documented a design for automating monitoring workflow, laying the groundwork that can proactively catch app engagement failures before they escalate into major customer tickets.
  • Managed high-priority operational issues during on-call rotations, including resolving critical tickets, ensuring pipeline freshness, and participating in security risk remediation campaigns.
JavaAmazon Web Services (AWS)HLDLLD

Airbus

3 roles

Software Engineer Ⅱ

Apr 2023Apr 2025 · 2 yrs

  • 𝐂𝐨𝐫𝐞𝐄𝐥𝐞𝐜
  • Platform to streamline aircraft delivery processes for designers, ensuring digital continuity and operational excellence.
  • Mass File Ingestion and Processing: Designed and implemented a mass ingestion pipeline processing 10,000+ files using AWS Lambda, S3, and SQS. Built a consumer Lambda with batch processing and concurrency to ensure scalability. Integrated content validation and re-ingestion based on API parameters, ensuring data accuracy.
  • Monitoring and Data Integrity: Developed a data monitoring service leveraging cron jobs to detect and clean corrupt data. Automated reporting via Excel exports, achieving 100% data consistency in workflows.
  • System Optimization: Scaled backend systems to support 1,000 concurrent users, optimizing performance with rate limiting, garbage collection tuning, and circuit breaker implementation, reducing costs and processing times by 50%.
  • UI Workflow Enhancements: Streamlined UI workflows with default settings, improving usability and gaining positive feedback during validation.
  • Innovation Projects: Led three cross-functional innovation projects, collaborating with teams across Germany and France, delivering customer-centric solutions and successful onboarding.
  • Automation Tooling: Engineered tools for business report generation, onboarding workflows, and a custom chatbot for international travelers, significantly reducing manual effort and improving process efficiency.
  • Tech Stack: Utilized Node.js, Nest.js, Express.js, and PostgreSQL for backend development and Angular, and TypeScript for frontend. Deployed services on AWS (S3, Lambda, CloudWatch, EventBridge, LexV2, EC2) for reliability and scalability.
  • Team Mentorship: Mentored a team of five engineers during onboarding and organized annual hackathons to drive innovation and cross-team collaboration at Airbus.
Amazon Web Services (AWS)Code ReviewNode.jsStakeholder EngagementStakeholder ManagementTypeScript+5

Software Engineer

Sep 2020Mar 2023 · 2 yrs 6 mos

  • Designed and implemented two production-grade microservices using Node.js and TypeScript from scratch.
  • Pioneered the reduction of operational expenses and ticket volume by taking ownership of services from other teams, resulting in an 80% decrease in SLA-bound tickets.
  • Streamlined workflows through automation, implementing Jenkins CI/CD pipelines that reduced project delivery timelines by 25%.
Amazon Web Services (AWS)Node.jsGitTypeScriptJestSQL+5

Interim Engineering Intern

Aug 2020Aug 2020 · 0 mo

  • Initially ramped up in a SOC usecase team(CyberSec) and then transitioned to different PSL project in a month

Jpmorgan chase & co.

Software Engineer Intern

Apr 2020May 2020 · 1 mo · Virtual Internship

  • Developed an interactive chart for a trader's dashboard to enhance stock valuation analysis.
  • Deployed a financial data feed interface, enabling effective monitoring of trade opportunities.
  • Utilised JP Morgan Chase & Co. frameworks to create a dynamic client-side web application.
Python (Programming Language)GitTypeScript

Crio.do

Student Developer

Jan 2020Apr 2020 · 3 mos

  • CRIO Launch 2020

Valuelabs

Software Engineer Intern

Dec 2019Mar 2020 · 3 mos · Hyderabad, Telangana, India

  • Being a Software Development Intern I was compelled to address end-end assignments of a project entitled 𝗖𝗼𝗿𝗽𝗼𝗿𝗮𝘁𝗲 𝗮𝘂𝘁𝗼 𝗲-𝗧𝗶𝗰𝗸𝗲𝘁𝗶𝗻𝗴 𝘂𝘀𝗶𝗻𝗴 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲.
  • Apart from that, I was also responsible to create a few screens(front-end) for a client named "ATPI".
HTMLFront-End Development

Indian institute of technology, kharagpur

Researcher

Jun 2019Aug 2019 · 2 mos · ISTE,Business-Excellence Lab.

  • Worked on the development of a GUI application for sparse layer inversion and compressive sensing.
  • Analyzed 𝘀𝗲𝗶𝘀𝗺𝗶𝗰 𝗱𝗮𝘁𝗮 to enhance thin reservoir delineation techniques.
  • Worked under the guidance of 𝑷𝒓𝒐𝒇. 𝑨𝒖𝒓𝒐𝒃𝒊𝒏𝒅𝒂 𝑹𝒐𝒖𝒕𝒓𝒂𝒚 @ IIT Kharagpur, contributing to cutting-edge research.
  • Gained valuable experience in seismic data analysis and application development under the dept of Geo Physics
Python (Programming Language)Geophysics

Healthfin plusworth pvt.ltd

Machine Learning Intern

Oct 2018Jan 2019 · 3 mos · India

  • Designed and developed a NLP-based chatbot to assist patients with medical loan inquiries.
  • Utilized Dialogflow API for user registration and onboarding, enhancing user experience.
  • Processed user queries to provide tailored solutions and financial advice regarding medical loans.
  • Collaborated with a dynamic startup, Healthfin Plusworth Pvt. Ltd, focused on innovative financial solutions in healthcare.
Natural Language Processing (NLP)Computer Vision

High performance computing lab, nist

Research Assistant

Aug 2018Nov 2019 · 1 yr 3 mos · National institute of science and technology Berhampur

  • Authored a book chapter on 𝒓𝒆𝒂𝒍-𝒕𝒊𝒎𝒆 𝒆𝒎𝒐𝒕𝒊𝒐𝒏 𝒆𝒏𝒈𝒂𝒈𝒆𝒎𝒆𝒏𝒕 𝒕𝒓𝒂𝒄𝒌𝒊𝒏𝒈, utilising biometric data to enhance student interactions in learning environments.
  • Developed an innovative method for accelerating image-based concrete crack detection by implementing random forest techniques with deep convolutional neural networks.
  • Published and presented research on 𝘀𝗺𝗮𝗿𝘁 𝗵𝗼𝗺𝗲 𝗮𝗽𝗽𝗹𝗶𝗮𝗻𝗰𝗲 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴 using Message Passing Interface (MPI), advancing parallel processing techniques at multiple conferences.
Python (Programming Language)ResearchComputer Vision

Apprevelations

Content Writing Intern

Sep 2017Mar 2018 · 6 mos · Remote · Remote

  • Developed engaging content for social media platforms to promote Toilet Finder's mission.
  • Advocated for the importance of cleanliness through various campaigns and surveys in New Delhi.
  • Contributed to a significant growth in followers from a few hundred to 20,000 during my tenure.
CommunicationWeb Content Writing

Education

NIST University

Bachelor's of Technology — Computer Science and Engineering

Jan 2016Jan 2020

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