✳ MALLESWARI KOSURI · DIGITAL SPECIALIST ENGINEER

Production experience.
Applied AI mindset.

I bring 5 years in enterprise engineering into hands-on work with Python, machine learning and NLP.

I’ve supported real production systems, followed data through tricky issues, and built practical classification projects. Now I’m bringing those perspectives together.

EXPLORINGAI EngineerApplied AIML Engineer
MY ENGINEERING WORLD ✦
Hi! I’m Malleswari.

I bring five years of engineering experience to practical Python, ML and NLP projects. What would you like to explore?

Explore my experience ↓
Choose a scene. Click the picture to explore the work.
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5years in IT
3Infosys role stages
2ML projects built
21team members led in selected phases
Strong systems foundation.
Practical AI in progress.

From keeping systems steady
to making them smarter.

✿ Systems thinking
meets curiosity

My AI journey grew from the engineering work I already do.

At Infosys, I’ve moved from enterprise data integration and testing into production support and application engineering. I’ve worked through issues across application, database, integration and infrastructure layers, coordinated releases, and helped teams make sense of what changed.

That experience shaped how I approach machine learning: understand the input, make the workflow explainable, evaluate the output, and think about how the result would fit into a real system.

Three chapters.
One growing toolkit.

Five years at Infosys, across three roles. Explore my production ownership, enterprise delivery and hands-on AI/ML work.

Oct 2021
Today
Systems EngineerSenior Systems EngineerDigital Specialist Engineer

Applied AI work

  • Built a customer message classifier using Python, Pandas, scikit-learn, TF-IDF and Logistic Regression.
  • Developed a customer churn prediction project and practiced the end-to-end supervised learning workflow.
  • Explored automation-oriented AI approaches to reduce repetitive engineering effort.

Engineering continuity

  • Continue L3 application engineering across SQL/MySQL investigation, Java-based applications and integrations.
  • Coordinate deployments, root-cause analysis and cross-functional issue resolution.
  • Test predictions on unseen customer messages and review model errors using accuracy, precision, recall, F1-score and confusion-matrix analysis.
PythonNLPProduction supportSQL / MySQLIntegrationsDeployment support
Malleswari investigating an application alert on a monitor beside a server stack
Investigate the incident. Trace the data. Coordinate the resolution.

Production support

  • Provided L3 support for regulated pharmaceutical and Life Sciences applications.
  • Investigated incidents and recurring issues while supporting SLA-driven service availability.
  • Performed root-cause analysis and SQL/MySQL validation across application, database, integration and infrastructure layers.

Change & collaboration

  • Managed incidents, service requests, problem records and RFC/change activities through ServiceNow ITSM.
  • Coordinated releases with development, CloudOps, vendors and business teams.
  • Supported Java-based applications, integration flows, system monitoring and stakeholder updates; maintained zero escalations through proactive ownership.
ServiceNow ITSMRCASQLRelease coordinationStakeholder collaboration

Data & requirements

  • Worked on enterprise data migration and integration activities.
  • Supported data consistency, validation, requirement gathering and testing.
  • Collaborated with cross-functional stakeholders on delivery activities.

Team contribution

  • Used Jira and Q-Test for defect tracking, delivery coordination and test management.
  • Led a 21-member team during selected project phases.
  • Supported delivery tracking, process improvement and stakeholder communication.
Data integrationJiraQ-TestTeam leadership

Small, practical ideas.
Built end to end.

Pick a project to explore the problem, method and workflow. Metrics are only shown when they’re verified.

Malleswari’s cartoon guide
Let’s look inside the projects.

Filter by topic, open a case study, then click through each NLP workflow step.

Show me the NLP workflow ↗
Showing both projects
PROJECT 01 · NLPFEATURED ✦

Customer Message
Intelligence System

Classify customer messages into support categories to demonstrate a practical first step toward more consistent routing.

💌
Malleswari explaining customer message classification using four colorful speech cards
PythonPandasscikit-learnTF-IDF
Product SupportDeliveryBillingLogin Issue
Explore GitHub ↗
PROJECT 02 · MACHINE LEARNINGHANDS-ON ✦

Customer Churn
Prediction

Practice a supervised learning workflow to explore which customers may be at risk of leaving.

📊
PythonSupervised learningClassification
Explore GitHub ↗

What I’ve used.
What I’m building.

Choose a group to see the tools and topics, with experience level made explicit.

SELECTED CAPABILITIESPROJECTS + EXPERIENCE

Machine learning

Hands-on project use, plus foundational evaluation and modeling concepts.

Supervised learning PROJECT USEClassification PROJECT USEModel training PROJECT USEModel evaluation PROJECT USEFeature engineering FOUNDATIONModel optimization FUNDAMENTALS
Professional experience Project use Foundation / exposure

My tools & platforms

Project tools, professional platforms and certified skills. AWS is exposure-level; Dynatrace, NumPy, Matplotlib and Jupyter are working knowledge.

PythonSQLMySQLscikit-learnPandasNumPyMatplotlibJupyterGitGitHubServiceNow ITSMJiraQ-TestPower BIDynatraceAWSAdvanced Excel

A steady path toward
applied AI.

My transition is intentional: keep the production mindset, add practical modeling, then bring them together.

01🧱FOUNDATION

Enterprise delivery

Data migration, integration, requirements and testing.

Oct 2021 — Sep 2023
→
02🛠️PRODUCTION

Application engineering

L3 support, RCA, SQL investigation, releases and stakeholder coordination.

Oct 2023 — Sep 2025
→
03🤖APPLIED PROJECTS

Python, ML & NLP

Build classifiers, examine model behavior and keep learning the foundations.

Oct 2025 — Present
→
04🌟GOAL

Practical AI systems

Apply engineering judgment and AI skills to useful product problems.

AI / ML-focused roles

Grounded in learning.
Growing with intent.

Credentials listed on my resume. Credential verification links can be provided when available.

✳

Certified Generative AI

Infosys

Generative AI fundamentals
☁

Certified Cloud Practitioner / Associate

Infosys

Cloud concepts
▥

Certified Microsoft Power BI

Infosys

Data visualization
↻

Agile Developer

Infosys

Agile practices
▦

Certified Advanced Excel

Infosys

Spreadsheet analysis
B

B.Tech · Electronics and Communication Engineering

Shri Vishnu Engineering College for Women, Bhimavaram

2018 — 2021
Malleswari’s cartoon character smiling and holding a star trophy
Recognition for ownership and delivery.

Good work gets
noticed.

🏆

Champ Award

FY 2022–23 · client recognition

🌟

Four Infosys Insta Awards

Recognition across project contributions

💬

Stakeholder recognition

Ownership, responsiveness, cross-functional coordination, incident resolution and deployment support

Let’s build
something useful.

I’m exploring AI/ML-focused opportunities where production engineering experience and practical Python skills can meet real product needs.

AI EngineerMachine Learning EngineerApplied AI EngineerGenerative AI EngineerForward Deployed Engineer