Software Engineer · C++ · Python · ML · DevOps
📞 +91-99765-07707 | 📧 dharaneishvc@gmail.com | 📍 Bengaluru | LinkedIn | Portfolio | 📄 Resume (PDF)
Software Engineer with 2 years of experience and a proven track record in Python and C++, machine learning, and DevOps, seeking a long-term Software Development Engineer (SDE) role to leverage technical, problem-solving, and interpersonal skills in driving innovative solutions and adding value to the organization, while enhancing skills and advancing career growth.
SDE 1 — Amadeus Labs, Bengaluru (July 2024 – Present)
- Engineered core features for airline reservation and statistical components for end-to-end booking-flow tracking and operational-data aggregation using C++, Python, MariaDB, Couchbase, ML, and web technologies.
- Built Jenkins CI/CD pipelines across multiple repositories for PR validation, cron-based load jobs, and GitHub integration, reducing manual release and DevOps workload.
- Led migration of multiple applications to Azure Cloud and standardized deployments with Docker, Kubernetes, OpenShift, Helm, and Argo CD.
- Migrated legacy scripts and dependencies to Jenkins workflows, configured Control-M batch jobs, and managed MariaDB patching, runtime configuration updates, credential rotation, and environment changes.
- Upgraded Python components to newer versions, resolved compatibility defects, and migrated select components to C++.
- Owned release engineering and DevOps operations, including load execution, monitoring, incident reporting, and maintenance/production defect resolution.
SDE Intern — Amadeus Labs, Bengaluru (February 2024 – June 2024)
- Built an ML-based tool to optimize system performance and reduce failure rates in the booking reservation system using Python, Data Analytics, AutoML, and Explainable AI.
SDE Intern — Vivriti Capital, Chennai (July 2023 – August 2023)
- Built an internal full-stack PDF reader tool for the finance team using Python, Java, and ReactJS to extract and display data from cloud-stored PDF documents in an interactive web interface.
| Institution / University | Degree / Level | Score | Year |
|---|---|---|---|
| Amrita Vishwa Vidyapeetham | B.Tech – Computer Science and Engineering | GPA: 8.65/10 (Distinction) | 2020–2024 |
| CBSE, India | Senior Secondary School – Grade 12 (AISSCE) | Score: 94.2% | Mar 2020 |
| CBSE, India | Secondary School – Grade 10 (AISSE) | Score: 94.6% | Mar 2018 |
| Category | Skills |
|---|---|
| Programming | C, C++, Python, Java (5-Star HackerRank) · Basics: Haskell, Go, Scala, R, ARM |
| Web Development | HTML, CSS, JavaScript, TypeScript, ReactJS, Angular, PHP |
| DevOps & Cloud | Docker, Kubernetes, OpenShift, Jenkins CI/CD, Helm, Git, Azure Basics |
| Databases | MySQL, Oracle, MariaDB, NoSQL, MongoDB |
| Data Science, AI | Machine Learning, Statistics & Data Analysis, Time Series, NLP, Information Retrieval |
| Big Data | Hadoop, MapReduce, Hive, Pig, Cassandra, HBase, Spark, Sqoop |
| Software Systems | Operating Systems, Computer Networks, System Design, Linux CLI & toolchain |
| Tools | Git, GitHub, VS Code, GenAI-assisted development, StarUML, Grafana, Swagger |
- ArogyaSathi – Healthcare App: Built predictive models for disease risk prediction using advanced ML, DL, and interpretable AI techniques, improving prediction accuracy.
- Wikipedia Page View Forecasting: Modeled time-series patterns using Exponential Average, ARIMA, and Holt-Winters to forecast page views.
- Sentiment Analysis on Hotel Reviews: Developed ML & NLP models to analyze sentiment from hotel review comments.
- Comparative Analysis of Deep Learning and Machine Learning Models for Network Intrusion Detection — ICCCNT Conference 2023 @ IIT Delhi
- Enhanced Botnet Attack Detection using Machine Learning and Neural Networks — ICICTS Conference 2024 @ Tribhuvan University, Nepal