Ishan Ghosh
Software Engineering undergraduate with strong interests in backend engineering, systems programming, distributed systems, and developer tooling. Experienced in Rust, Go, Java, and Python through projects spanning distributed consensus, information retrieval, multimedia systems, and machine learning. Passionate about building scalable software and solving complex engineering problems.
Experience
Artificial Intelligence Intern
Knack Tech E-Learning Pvt. Ltd.
- Built machine learning solutions using Python and Scikit-Learn for predictive analytics.
- Performed preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
- Developed reusable ML pipelines and documented experimental findings.
- Collaborated with mentors on end-to-end AI workflows following software engineering best practices.
Machine Learning Intern
Unified Mentor Pvt. Ltd.
- Designed and evaluated supervised learning models on real-world datasets.
- Conducted exploratory data analysis, feature engineering, and model optimization.
- Implemented modular Python code for training, evaluation, and inference.
- Worked with common ML workflows, metrics, and documentation practices.
Education
Institute of Engineering & Management, Kolkata
Bachelor of Technology
Skills
RustGoJavaPythonSQLFastAPIFlaskREST APIsLinuxDistributed SystemsOperating SystemsComputer NetworksPyTorchTensorFlowScikit-LearnXGBoostGitDockerFFmpegTantivy
Projects
CAPA – Behavioral Capability Intelligence Engine
Rust, Tantivy, and PostgreSQL
- Engineered a deterministic developer-intelligence platform that infers engineering capabilities from GitHub repositories.
- Built scalable indexing, ranking, and retrieval pipelines using Tantivy and PostgreSQL.
- Implemented capability-vector generation, developer similarity search, repository scoring, and explainable evidence aggregation.
- Designed modular architecture emphasizing deterministic analysis, maintainability, and performance.
mini-etcd
Go, gRPC, Raft
- Developed a lightweight distributed key-value store inspired by etcd.
- Implemented leader election, replicated state management, service discovery, and fault tolerance.
- Added snapshot-based log compaction and modular consensus components.
- Explored distributed systems concepts including replication and consistency.
Video Streamer
Rust, FFmpeg
- Built a multimedia streaming application supporting MP4 parsing and media decoding.
- Implemented audio/video playback pipelines and buffered streaming.
- Optimized media processing workflows using Rust and FFmpeg.
AI-driven QoS Management for 5G Networks
Python, Scikit-Learn
- Developed ML models for adaptive QoS optimization in 5G networks.
- Applied predictive analytics to improve traffic management and resource allocation.
- Evaluated models using latency, throughput, and QoS performance metrics.
Achievements
4th Place – FIFS Sports Data Gameathon 2025 (Dream11 x Google Cloud)
Certificate
- Developed an ML-powered sports analytics and prediction solution in a national-level hackathon.