AI / ML Resume (ATS-friendly)
Shashank Raju Rallabandi
AI / Machine Learning Engineer
📧 Shashank.rallabandi@gmail.com🔗 linkedin.com/in/shashank-raju-rallabandi🔗 github.com/iishashank
Summary
Applied AI and machine learning candidate with hands-on experience building anomaly detection, NLP-driven query workflows, and AI-assisted decision support systems through internship and independent product work. Comfortable using Python, SQL, FastAPI, and modern AI tooling to turn noisy data and business workflows into usable software.
Projects
Real-Time Industrial Anomaly Detection System
- Built an applied anomaly detection prototype for industrial sensor data to flag irregular behavior earlier than static thresholds
- Used sliding windows, moving baselines, and model-based scoring to translate raw signals into monitoring alerts
- Designed the output around usable monitoring workflows rather than a standalone model demo
QueryWhiz - Natural Language Data Exploration
- Built an NLP-style workflow that converts natural language questions into structured queries over tabular data
- Focused on readable outputs and lower-friction data access for non-technical users
- Designed the system as an AI-assisted interface for practical data exploration and reporting
Finance Copilot - AI-assisted Financial Analysis
- Built an AI-assisted analysis concept spanning historical market data and live signals
- Explored time-series pattern review, structured summaries, and decision-support outputs
- Framed the system around usable analysis rather than black-box prediction
Experience
GenAI / Machine Learning Intern - Tata Technologies
6 Months- Collaborated on applied AI workflows for industrial and enterprise use cases, including anomaly detection and internal automation concepts
- Explored NLP and multilingual workflow ideas for structured enterprise data and operational processes
- Learned to balance model behavior with reliability, operational fit, and deployment constraints
Independent AI Product Builder / Freelance Developer
Ongoing- Designed AI-powered MVPs and workflow tools around practical business problems
- Worked with stakeholders to shape requirements, prioritize features, and deliver usable software
- Built end-to-end product flows across interfaces, backend logic, data handling, deployment, and AI integration
Skills
Languages:
Python, SQL
Python, SQL
AI / ML:
Machine learning, NLP workflows, Generative AI, Anomaly detection
Machine learning, NLP workflows, Generative AI, Anomaly detection
Backend & Product:
FastAPI, REST APIs, Structured querying, Workflow design, Rapid prototyping
FastAPI, REST APIs, Structured querying, Workflow design, Rapid prototyping
Education
B.Tech - Computer Science Engineering
MIT World Peace University (MIT-WPU), Pune