Kasi Reddy Asam

Software Engineer

Guruzala, Andhra Pradesh, India3 yrs 11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Designed scalable backend systems at Morgan Stanley.
Developed Python ETL pipelines for data-driven decision-making.
Built a music recommendation engine improving accuracy by 30%.

Stackforce AI infers this person is a Backend Developer with expertise in Fintech and AI-driven solutions.

Contact

kasireddy2024@gmail.com LinkedIn

Skills

Core Skills

JavaSpring BootPythonFastapiPostgresqlTeam LeadershipArtificial Intelligence (ai)

Other Skills

SQLREST APIsMicroservicesCI/CDGrafanaPolarsObject-Oriented Programming (OOP)CommunicationC++TF-IDFSentiment AnalysisData structure and algorithmsRoot Cause AnalysisCode ReviewCode Refactoring

About

Java Developer at Morgan Stanley, building high-performance backend systems handling millions of requests weekly. I work with Java, Spring Boot, Python, and SQL to design scalable microservices, ETL pipelines, and production monitoring infrastructure. I actively use AI coding tools (GitHub Copilot, Claude) to ship faster and write cleaner code. 🎓 NIT Calicut '25 | 900+ DSA problems solved (LeetCode, GFG) What I bring: → Backend systems built at BFSI scale (Morgan Stanley). → Python ETL pipelines — multi-DB extraction to dashboards → Real-time apps with WebSocket (sub-second latency, 100+ users) → Production monitoring with Grafana — reduced incident response time → AI-native development workflow (Copilot + Claude + Cursor) Tech: Java · Spring Boot · Python · SQL · Docker · Microservices · REST APIs · PostgreSQL · CI/CD · Grafana 📩 Open to Backend / SDE-1 / Associate Engineer roles. Let's connect!

Experience

3 yrs 11 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr

Current Experience

Morgan stanley

Java Software Engineer

Jun 2025 – Present · 1 yr

Designed and implemented a high-quality, scalable batch-writing backend service using Java and Spring Boot — handling 7.5 million write requests/week with zero downtime, applying software design patterns for maintainability and performance. Took full ownership of features from design through deployment — built RESTful backend APIs with Spring Security enforcing secure access controls, ensuring code quality and adherence to engineering best practices throughout. Developed Python-based ETL pipelines using SQL and Polars to extract and structure KPI data from enterprise databases (DB2, SQL Server) — enabling data-driven decision-making for sales and trading teams. Integrated backend APIs with a dynamic analytics dashboard — enabling real-time search and filter, contributing to 800+ client activations after launch. Updated and maintained CI/CD pipelines (Jenkins, GitLab) improving deployment automation and release reliability; participated in structured code reviews enforcing coding standards across cross-functional teams. Leveraged GitHub Copilot and Claude to generate unit tests (JUnit/Mockito), refactor legacy code, and accelerate feature delivery — consistently shipping production-ready solutions faster.

JavaSpring BootPythonSQLREST APIsMicroservices+2

Cypher labs

Junior Software Developer

Jan 2025 – May 2025 · 4 mos · Hyderabad · Hybrid

Designed ER diagrams and implemented a normalized PostgreSQL schema with 30+ entities — improved data organization and reduced record retrieval time by 40%.
Developed RESTful backend APIs integrated with a JavaScript frontend for core workflows — registration, scheduling, and reporting.
Built a product landing page for Generative AI products using JavaScript — boosted user engagement by 25% in the first month.

FastAPIPostgreSQL

Codealpha

Machine Learning Engineer

Apr 2024 – Jun 2024 · 2 mos · Remote

Built a music recommendation engine using Python (TF-IDF + sentiment analysis) — improved prediction accuracy by 30% through algorithm iteration.
Resolved a critical model bug via root cause analysis — achieved 3× more accurate outputs and eliminated 50+ manual corrections per week.

Artificial Intelligence (AI)C++