INITIALIZING_
Detail-oriented B.Tech Computer Science (Data Science) student with hands-on experience in AI-based systems, web development, and automation. Strong foundation in object-oriented programming and problem-solving — actively seeking opportunities to apply technical skills in real-world software and AI-driven applications.
{
"name": "Mandar Suryavanshi",
"role": "Computer Science Student",
"location": "Pune, India",
"languages": [
"Marathi", "English",
"German (A2)"
],
"softSkills": [
"Leadership",
"Problem Solving",
"Public Speaking",
"Team Management"
],
"status": "Open to Work"
}Coding Blocks School of Technology
Working on real-world AI/ML and Data Science projects under industry mentorship during a 6-week intensive program. Gaining hands-on exposure to model building, data pipelines, agile workflows, and collaborative software development.
FlyRank AI
Working on backend systems and API development as part of the engineering team.
Contributed to AI/ML open source repositories, merging production-level PRs.
ContributorContributed to distributed systems and backend tooling projects.
ContributorBuilt a banking simulation backend from scratch in Go, using raw database/sql against MySQL (no ORM) to model accounts, transactions, and balances with real consistency guarantees. Designed as a fully tested, explainable systems project.
Backend service modeling a payments processing pipeline — transaction creation, status tracking, and ledger consistency — built with an emphasis on correctness and clean API design over a raw database layer.
Designed a multi-agent AI system where specialized AI agents collaboratively perform complex tasks — planning, research, memory retrieval, and response generation. Implemented agent orchestration, long-term memory, and tool-calling pipelines.
Developed an AI memory engine capable of semantic search, long-term context retention, and personalized knowledge retrieval using vector embeddings and retrieval-augmented generation (RAG) pipelines, achieving context-aware response accuracy improvements.
Enterprise-style airport management system simulating end-to-end operations — check-in, baggage handling, takeoff and landing — with AI-based scheduling, predictive analytics, and real-time monitoring. Digital twin architecture with live data pipelines and anomaly detection reduced average ground delay by 35% in simulation. Modular microservices for scheduling, gate assignment, and predictive maintenance with a React-based real-time control dashboard.
Built an AI-powered interview simulation platform featuring real-time voice/text interaction, adaptive questioning, and performance evaluation targeting Google-style SWE interviews. Designed scalable backend services with async processing and analytics-based feedback generation, reducing evaluation latency by 40%.
Automated attendance tracking system using Python to eliminate manual effort. Detects and logs attendance intelligently and generates structured academic reports for institutional use.
AI-based tool that extracts and analyzes skills from resumes using NLP. Identifies skill gaps by intelligently matching candidate profiles against target job roles and provides actionable feedback.
Web-based examination platform with automated evaluation and instant grading. Includes an AI chatbot that handles common academic queries, reducing repetitive workload for faculty.
Logic-driven tool for generating animated visual content based on user input and prompt instructions. Uses AI decision pipelines to produce creative, dynamic animations programmatically.
Ajeenkya DY Patil University, Pune
I'm actively looking for opportunities in AI engineering, backend development, and innovative tech roles. Drop me a message!