Software Engineer | AI/ML | Java • Python • Systems • Scalable Applications | EdgeVerve (Infosys Finacle)

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Remote

Don Bosco Institute of Technology, Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India

Don Bosco institute of Technology, Bengaluru







Bachelor of Engineering - BE, Computer Science Artificial Intelligence and Machine Learning
Don Bosco Institute of Technology (DBIT), Bengaluru

Pre University
NMKRV College
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Download Tal BossSoftware Engineer | AI/ML | Java • Python • Systems • Scalable Applications | EdgeVerve (Infosys Finacle)
I’m an AI & ML Engineering graduate with hands-on experience building and deploying intelligent systems across domains like healthcare, generative AI, and automation.I’ve developed end-to-end AI solutions including:- Genimation – a text-to-animation system using generative AI- HealthGuard AI – a machine learning–based disease prediction platform- Object detection systems using deep learning frameworksCurrently working with EdgeVerve (Infosys), where I:- Enhance a large-scale test automation framework (Java, Selenium, Maven) by building extensible automation capabilities for validating bank-specific customizations in the Finacle core banking system- Contribute to a Python-based AI failure classification system (PoC) for automated log analysis- Design and manage test data provisioning workflows using Oracle SQL and Azure DevOps pipelines- Debug distributed systems through Kubernetes/OpenShift log and pod analysisMy work sits at the intersection of AI, backend systems, and scalable software engineering, with a strong focus on building practical, production-oriented solutions.🔗 Portfolio & Profiles📬 Email: sarika.mn97@gmail.com🔗 Portfolio: https://sarikamn-362.netlify.app 📄 Resume: https://www.canva.com/design/DAHFcINA0w0/kgenBVE72I7U4HIPZHxBQQ/view💻 GitHub: https://github.com/Sarika362 📬 Open to meaningful conversations around AI, engineering, and impactful systems.
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System Engineer at EdgeVerve, Sep 2025 - Present · 1 y 2 mo, Bengaluru, Karnataka, India, • Built Finacle Test Case Repository, a full-stack server-side application (FastAPI + PostgreSQL backend, React frontend) with RESTful APIs, JWT-based 3-tier role access control, and complete audit logging across 9+ banking modules. • Contributed to a Python-based AI Failure Classification Agent (PoC) leveraging inference-based ML techniques to automate log triage, reducing manual debugging effort and enabling faster root cause identification. • Enhanced the Finacle Test Automation Framework (FTAF) using Java, Maven, and Selenium by developing custom automation capabilities to support testing of bank-specific module variations within the Finacle core banking system, improving usability and accelerating test adoption. • Architected and developed a full-stack Finacle Product Test Case Repository as an internal utility using FastAPI, React, and PostgreSQL, replacing manual Excel-based test case tracking across 9+ Finacle modules (CORE, CASA, Trade Finance, LOANS and others); implemented role-based access control (Admin/Manager/User) with JWT authentication, a complete audit trail capturing all user actions with before/after snapshots, bulk Excel import/export with config-driven validation, and auto-generated test case and action IDs. • Designed and executed end-to-end test data setup for Trade Finance modules by creating and managing Oracle SQL scripts and Excel-based datasets; automated data provisioning workflows using Azure DevOps pipelines to support bank-specific environments. • Diagnosed application issues by analyzing Kubernetes/OpenShift pod logs and backend services, identifying root causes of failures and enabling faster resolution for internal teams. • Maintained and integrated automation test suites into Git-based repositories and scheduled CI/CD pipelines, ensuring consistent regression execution across multiple banking projects as per organizational standards.
System Engineer at EdgeVerve, Mar 2025 - Aug 2025 · 5 mo, Bengaluru, Karnataka, India, Currently working in the Functional and Automation Testing team at EdgeVerve. • Performing UI testing using the Finacle banking platform • Conducting API validation and workflow checks using Postman • Developing and executing automated test scripts using FTAF (Finacle Test Automation Framework) • Writing test cases, identifying bugs, and reporting bugs, documenting test cases, and ensuring product functionality in client-facing modules Although this role is QA-focused, I’m simultaneously building AI/ML applications independently, aligned with my academic background and long-term goal of transitioning into AI/ML engineering.
Machine Learning Intern at Unified Mentor, Oct 2024 - Feb 2025 · 4 mo, Remote, • Developed 5 ML models with high accuracy: ➢ ASL Detection (91.97%), Heart Disease Prediction (94.52%), Liver Cirrhosis Stage Detection (95.04%). • Hands-on Supervised & Unsupervised Learning, Deep Learning
Artificial Intelligence Trainee at Samsung Innovation Campus, Sep 2024 - Apr 2025 · 7 mo, Don Bosco Institute of Technology, Bengaluru, Karnataka, India, Completed intensive hands-on training in Artificial Intelligence, focusing on real-world applications of machine learning, deep learning, and NLP. Key Learning Areas: • Machine Learning, Data Preprocessing, and Visualization using Python (NumPy, Pandas, Scikit-Learn) • Supervised and Unsupervised Learning Algorithms • Natural Language Processing (NLP) with NLTK • Deep Learning with TensorFlow and Keras • Collaborative projects, problem-solving, and real-time implementation Capstone Project – ObjectifyAI: Real-Time Object Detection • Developed a deep learning model achieving 63% accuracy for real-time object detection • Built full-stack solution using React.js (frontend), Flask (backend), and TensorFlow.js (in-browser inference) • Trained and optimized the model on Google Colab • Integrated Chart.js for live data visualization • Focused on enhancing real-time inference speed and model performance
System Engineer at EdgeVerve, Apr 2024 - Feb 2025 · 10 mo, Bengaluru, Karnataka, India, Full Stack Development Trainee Underwent hands-on training in full-stack development and professional skills as part of onboarding for the System Engineer Intern role at EdgeVerve. Gained hands-on experience in full-stack development using Java, with exposure to both frontend and backend technologies. 🔹 Built real-world applications such as a School Management System, Pharmacy App, and To-Do App 🔹 Worked with Java, JDBC, MySQL, OracleDB, HTML, CSS, JavaScript, AngularJS, Node.js, Express.js, JUnit, and Postman 🔹 Strengthened skills in backend APIs, frontend integration, database management, and software testing workflows 🔹 Gained exposure to UNIX command-line operations and development tools 🧠 Also completed soft skills training in: - Business communication, LSRW (Listening, Speaking, Reading, Writing) - Email etiquette, time management, cultural intelligence - Design Thinking (DT) and workplace professionalism
Data Science Intern at Devtern, Feb 2024 - Apr 2024 · 2 mo, Bengaluru, Karnataka, India, Project based internship Detection of Fake News, Uber Trips Analysis & Discovery of Handwashing
Coding & Programming - Selective Training Program at Samsung Innovation Campus, May 2023 - Jan 2024 · 8 mo, Don Bosco institute of Technology, Bengaluru, Successfully completed the "Python with Data Analysis" training as part of the Coding and Programming (C&P) course at Samsung Innovation Campus, where I acquired advanced skills in Python and data analytics, further enhancing my career opportunities. Additionally, I led a hackathon organized by the Samsung Innovation Campus. - Learnt Python fundamentals, data structures, and the design and analysis of algorithms to create optimized solutions. - Gained expertise in data preparation, preprocessing, analysis, and visualization techniques using Python libraries such as Pandas, NumPy, Matplotlib, Plotly, and Seaborn for effective data analysis and visualization. - Completed a capstone project titled “Instagram Reach Analysis” and developed a prediction model to assess and predict reach performance. - Presented project outcomes in a poster presentation demonstrating technical and communication skills.
Bachelor of Engineering - BE, Computer Science Artificial Intelligence and Machine Learning, Don Bosco Institute of Technology (DBIT), Bengaluru
Pre University, NMKRV College
github: https://github.com/Sarika362
leetcode: https://leetcode.com/Sarika362
sarikamn-362.netlify.app: https://sarikamn-362.netlify.app/