2nd Place — Medpace Track
→ project: Pulse
Recognized by Medpace clinical-research judges for a patient-safety ecosystem combining biometric anomaly detection with conversational symptom reporting and automated MedDRA/CTCAE grading.

Harikeshav Rameshkumar
Systems & AI/LLM Engineer
I build fast, low-level systems and production AI.
>a bit more about me
I'm a computer science student at The Ohio State University who likes the hard parts of software: distributed systems, compilers, cryptography, and shipping AI that actually holds up in production.
This past year I've cut LLM extraction latency by 74% on GE Aerospace's financial pipelines, hand-written AVX2/NEON kernels for a distributed inference engine that runs Llama 70B across consumer hardware, and built a fully-homomorphic-encryption ML runtime in Rust that keeps inputs encrypted end-to-end.
When I'm not shipping production code I'm usually at a hackathon — I've placed at RevolutionUC, TartanHacks, NextHacks, and HackOHI/O with teammates I trust, building everything from clinical-trial safety platforms to gamified finance twins.
Software Engineering Intern
Shipped production LLM extraction pipelines and high-performance data systems on AWS Bedrock, ECS Fargate, and Amazon Neptune across GE Aerospace's financial platform.
Software Engineering Intern
Built enterprise RAG, GPU LLM serving, and distributed data infrastructure for a 10+ client, $1.5M ARR platform.
Research Intern
Researched physics-informed machine learning for indoor wireless signal propagation, replacing expensive manual site surveys with spatial ML.
Event-driven clinical-trial patient safety platform
An AI-powered clinical-trial safety platform that bridges the gap between in-person visits. Combines real-time biometric anomaly detection, multi-agent voice/text check-ins, and researcher triage — normalizing symptoms into MedDRA terms and CTCAE severity grades with a human in the loop.
AI financial twin & real-time shopping companion
A personal-finance platform with a multimodal receipt-OCR pipeline (GPT-4o Vision), a pgvector-backed spending memory, and a Chrome extension that computes the 'true cost' of a purchase in hours-of-work while you shop.
Intelligent LLM context-compression engine
A high-performance LLM input-compression framework. A fine-tuned BERT token classifier scores every token by semantic necessity, then a two-tier pruning engine (context + token level) cuts prompt size while a zero-hallucination constraint engine preserves code and structure.
Distributed LLM inference engine in C++20
A distributed LLM inference engine that runs models like Llama 3 70B across a ring of heterogeneous consumer devices using pipeline parallelism — bypassing the VRAM wall. Hand-written AVX2/NEON SIMD kernels, a zero-copy Linux kernel-module transport, and a custom INT8/FP32 weight serializer.
Encrypted ML inference engine (Rust + Python)
A privacy-preserving ML inference library that runs PyTorch / sklearn / XGBoost models under Fully Homomorphic Encryption — inputs and outputs never leave ciphertext. A 'narrow-waist' 3-layer architecture lowers ONNX graphs to a versioned IR executed on tfhe-rs primitives, with a PyO3 bridge and bit-for-bit exactness guarantees.
Autonomous agentic AI SDR platform
An end-to-end agentic sales-development platform. Multi-agent workflows discover leads, run multimodal visual audits of their sites (Gemini Vision + Playwright), auto-generate improved website prototypes, and reach out over cold email and real-time bi-directional AI voice calls.
→ project: Pulse
Recognized by Medpace clinical-research judges for a patient-safety ecosystem combining biometric anomaly detection with conversational symptom reporting and automated MedDRA/CTCAE grading.
→ project: Penny
Praised by Visa technical leads for uniting multimodal receipt parsing, historical spending vector search, and a real-time 'true cost' e-commerce browser extension.
→ project: Distill
Awarded for high-efficiency LLM infrastructure — a 68% token reduction and 37% latency drop while maintaining 99% accuracy across massive context windows.
→ project: LeadForge
Honored at OSU's flagship competition for agentic AI architecture — multi-agent lead scoring, autonomous React prototype generation, and real-time bi-directional AI voice calling.
→ project: VR Market Simulator
Top game-dev honors from Meta and OSU Linguistics for immersive language learning — Meta Quest hand-tracking, dynamic VR budgeting, and NavMesh crowd AI.
Repeated recognition for rapid full-stack execution and cryptographic security implementation under tight 24–48 hour competitive sprints.
Awarded Dean's List and University Honors every semester while maintaining a 3.9 / 4.0 cumulative GPA in Computer Science.
>got a role, a project, or just want to say hi? my inbox is open.
$whoami
Harikeshav Rameshkumar