- Joined
- 7/24/25
- Messages
- 7
- Points
- 3
Hello everyone,
I'm seeking some candid feedback on my profile for MFE applications and would greatly appreciate any insights on its strengths and weaknesses. I'm B.E Computer Science grad from a Tier 1 university in India, who graduated in June 2025 with a CGPA of 8.06/10. I also have a minor in Finance.
Here's a summary of my background:
Academics:
I'm seeking some candid feedback on my profile for MFE applications and would greatly appreciate any insights on its strengths and weaknesses. I'm B.E Computer Science grad from a Tier 1 university in India, who graduated in June 2025 with a CGPA of 8.06/10. I also have a minor in Finance.
Here's a summary of my background:
Academics:
- Degree: Bachelor of Engineering in Computer Science
- CGPA: 8.06/10
- Relevant Coursework: Data Structures and Algorithms, Operating Systems, Database Systems, Computer Networks, Foundations of Data Science, Machine Learning, Graph Mining, Probability & Statistics, Mathematics I, Mathematics II, Mathematics III, Principles of Economics, Business Analysis & Valuation, Derivatives & Risk Management, Fundamentals of Finance and Accounting, Securities Analysis & Portfolio Management, Financial Management, Financial Risk Analysis and Management.
- Teaching Assistant: Database Systems (supported 200+ students, revamped lab sheets).
- Software Development Intern at a prominent Indian fintech company: Optimized risk assessment micro-services, created a risk-based authentication system, and engineered a ticket deduplication system using Java.
- Software Development Intern at a fortune 10 company: Architected scalable data pipelines using Java, Scala, Apache Spark, and Apache Airflow, processed large volumes (we’re talking 100Tb+) of advertising data, and contributed to an Advertiser Insights Platform.
- Graph-Aware LLM Tuning for Textual Node Classification: Implemented the ENGINE framework combining GNNs with LLMs, achieving state-of-the-art performance and significant reductions in training/inference time.
- Unix Shell : Developed a functional Unix-like shell in Java with command parsing, process control, I/O redirection, and piping.
- High-Speed Network Flow Analysis: Collaborated on a DRDO-commissioned project, enhancing ClickHouse tables and implementing TRIE encoding for JOIN queries, resulting in 98% performance improvement.
- University Fest Backend Infrastructure : Built a wallet system for a university fest, handling 24.9M INR in-app transactions, and managed 5000+ users with a micro-service structure.
- Languages: Javascript, Python, C++, Java, Scala
- Libraries & Frameworks: Django, Spring, Apache Spark, Apache Airflow
- Databases: PostgreSQL, MySQL, ClickHouse, BigQuery, DynamoDB
- Platforms & Other Software: Linux, Docker, Git, GCP, Jenkins, AWS, Loki, LockSmith
- NTSE Scholar
- Jee Advanced (AIR 2.5k)
- What are the strongest aspects of my application?
- Where are the potential weaknesses or areas I should focus on improving?
- Should I keep MSDS as my backup option just because of tech experience?
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