Checkpoints
get_checkpoints()7 checkpoints · 4 running in parallel right now.
service timeline4 running concurrently
MarMayJulSepNovMarMayJulSepNovMarMayJulSepNov2024202520262027
HPE (HP CPP)SDE CPP Intern
September AIAI Engineer
Synvolve IntellisBackend Developer
iNeuron.aiML Engineer (Intern)
Google Developer Groups (GDG)Member & Participant
iQube Innovation CenterAI / ML Engineer
iQube Innovation CenterML Engineer
active nowcompleted
SDE CPP Intern
@ HPE (HP CPP)activeFeb 2026 – Present · Internship+Built on-device time-series anomaly detection for network-switch telemetry. Lightweight statistical detectors, each with a portable C twin checked against a Python reference (matched to ≤1e-4).
+Benchmarked ~20 detectors across ~25,000 evaluation runs on real ISP traffic; the recommended detector runs at about 5 ns/sample using under 100 bytes of state.
~20 detectorson-device5 ns/sample<100 B state
AI Engineer
@ September AIactiveNov 2025 – Present · Internship+Build production AI services on an enterprise platform. Work covers an LLM inference/orchestration gateway with a performance-critical core written in Rust, multi-modal context orchestration and MCP-based agent tooling.
+Built standalone systems: a unified inference gateway, an MCP hub that fronts several tool servers, a multi-agent mission-control dashboard and agentic UI generators.
+Joined the team after placing in the top 5 of the Innovate & Build 2025 Hackathon.
Rust core (PyO3)inference gatewayTop 5 in hackathonMCP tooling
Backend Developer
@ Synvolve IntelliscompletedJun 2025 – Sep 2025 · Internship+Lead backend developer on a live jewellery e-commerce platform: a TypeScript/Express + Prisma/PostgreSQL API with JWT auth, Razorpay payments, ShipRocket shipping and Twilio/SendGrid OTP.
+Built a separate Python/FastAPI recommendation service using ALS collaborative filtering, and shipped the platform via GitHub Actions CI/CD to AWS EC2.
lead backendPrisma/PostgreSQLALS recsysAWS EC2
ML Engineer (Intern)
@ iNeuron.aicompletedDec 2024 – Jan 2025 · Internship+Built a flight-fare prediction model end to end on historical travel data, covering EDA, feature engineering and model selection.
+Tuned a Random Forest Regressor to an R² of 0.83 and deployed it with a Streamlit interface for real-time predictions.
R² 0.83Random ForestStreamlit
Member & Participant
@ Google Developer Groups (GDG)activeNov 2024 – Present · India+Participate in GDG DevFests and workshops across cloud, AI/ML and full-stack development.
+Built a full-stack MERN to-do application during a hands-on GDG build workshop.
DevFestMERN build
AI / ML Engineer
@ iQube Innovation CenteractiveSep 2024 – Present · Kumaraguru College of Technology+Promoted to Level 2 AI/ML Engineer. Built Roller Defect Detection, a real-time YOLO inspection station that drives a Siemens PLC to physically reject defective parts on a line rated for 100,000+ rollers/day.
+Built a reference-based jewelry visual-inspection pipeline, and led ML Fest at Yugam 2026 end to end (a 3-round quiz / pipeline-debugging / ML-CTF platform).
+Worked across NLP, Transformers, MCP and multi-agent systems; active in hackathons and technical events.
100,000+ rollers/dayreal-time inspectionmulti-agent systemsLevel 2
ML Engineer
@ iQube Innovation CentercompletedApr 2024 – Sep 2024 · Kumaraguru College of Technology+Learned supervised and unsupervised machine learning by working through real problems rather than toy datasets.
+Worked on data preprocessing, model training and evaluation across end-to-end ML pipelines with Python and scikit-learn.
scikit-learnsupervised & unsuperviseddata preprocessingmodel evaluation