Bengaluru, India
Ishaan Snehal
Parikh
Dual-degree undergrad (CS @ RVCE, Data Science @ IIT Madras) building agentic AI systems — from production KYC platforms to AI-aware OS schedulers.
01 / About
Two degrees, one obsession: building.
I'm a dual-degree undergraduate reading B.E. Computer Science & Engineering at RV College of Engineering (CGPA 9.62) alongside a B.S. in Data Science & Applications at IIT Madras (CGPA 9.00) — running both in parallel from Bengaluru.
My foundation is in DSA, Operating Systems, Computer Networks, and DBMS, and I spend most of my time shipping across agentic AI, machine learning, systems programming, computer vision, and full-stack AI development. I like problems that sit where research meets production.
On the side, I co-run Gujarat Junction, a cloud kitchen — which keeps me honest about margins, operations, and shipping things people actually pay for.
RVCE — CS&E
9.62
CGPA
IIT Madras — DS
9.00
CGPA
Based in
Bengaluru
Also building
Gujarat Junction
cloud kitchen
02 / Experience
Where I've been building.
Feb 2026 – Present
Product Development Intern — “Drawganizer”
BerkeleySoft USA
- Engineered an AI drawer-organization system using credit-card homography calibration (ISO/IEC 7810) to convert image pixels to real-world millimeters without depth sensors or LiDAR — 88% L/W and 97% height calibration confidence.
- Built a Union-Find-based compartment detection engine to auto-segment drawer layouts, paired with a 3D preview and a CNC G-code exporter for cross-lap joinery.
Nov 2025 – Jun 2026
AI Research Intern — AIOS Scheduler Research
Samsung R&D Institute India (SRI-B) · Samsung PRISM
- Designed and benchmarked 7 scheduling algorithms (FCFS, SJF, SRTF, Round Robin, Lottery, Priority, MLFQ) for concurrent on-device AI workloads (GPT-2, BERT-Base, OPT-125M) on the ONNXim NPU simulator across 89+ interference tasks.
- Lifted deadline satisfaction from ~1% (FCFS) to 100% (Preemptive Priority); MLFQ reached 94.4% deadline compliance while cutting lightweight inference latency from >900ms to ~4ms.
Aug 2025 – Oct 2025
Agentic AI Engineer Intern
Tata AIA Life Insurance
- Built a production-ready FastAPI + LangGraph multi-agent e-KYC chatbot spanning 5 document types (PAN, Aadhaar, Passport, DL, Form 60) with OCR and RAG-based classification — cutting manual verification 60–70% and onboarding time 40–50%.
- Designed an L1/L2/L3 hierarchical memory architecture (Redis + vector DB) for session-persistent conversations, reducing KYC decision time by 35–40%.
2024 – Present
Co-founder & COO — Cloud Kitchen
Gujarat Junction
- Runs P&L, vendor sourcing, menu pricing, and Zomato/Swiggy operations end to end.
- Built margin-tracking frameworks to keep the business profitable while scaling.
03 / Projects
Things I've shipped.
04 / Skills
The toolkit.
Languages
AI / ML
Systems
Frameworks
Core CS
05 / Recognition
Achievements & education.
Achievements & Leadership
Education
IIT Madras
CGPA 9.00B.S. Data Science & Applications
Jan 2025 – Dec 2028
RV College of Engineering
CGPA 9.62B.E. Computer Science & Engineering
Sep 2024 – Jun 2028
06 / Contact
Let's build something.
Working on agentic AI, systems, or ML and want an extra pair of hands? Have a role, a project, or just a good problem? My inbox is open.
ishaan.isp11@gmail.com