About

Arjun Verma

I build software I'd want to use. Systems, interfaces, and the occasional weekend experiment. I write to think clearly, and I ship to learn faster.

I use Arch btw.

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Experience

• Built a unified multimodal ingestion layer across regulatory inputs (PDFs, DOCX, images, audio) using Docling and VLMs, hitting 94% structured field extraction accuracy. • Shipped a 3 stage context compression middleware that keeps working memory under 8K tokens, cutting per session LLM spend by 54%. • Owned the SAE completeness module for the CDSCO India AI Hackathon 2025, a 4 layer consistency model where every finding cites its source regulatory doc (NDCTR 2019, 2014 Pre screening Checklist, ICMR CECHR, Schedule Y). • Built the entire FastAPI backend (35+ endpoints) and the LangGraph pipeline for Encube Learning Solution, fanning out across 8 generation skills to turn pharma SOPs into Duolingo style lessons in 4 languages. • Got PDF parsing 150x faster swapping docling for PyMuPDF, and pushed lesson generation 7x faster going parallel with asyncio.gather.

Attachments

Offer Letter

• Redesigned production RAG into a 5 stage pipeline (HyDE, topic filter, wide retrieval, rerank, final pick), lifting eval quality from 4.12 to 8.93 and dropping latency from 12s to under 5s. • Built an LLM as judge eval harness and ran 33 experiments benchmarking 12 rerankers, 3 embedding models and 5 pipeline architectures. Big finding was that embedding choice moves the needle way more than the reranker. • Curated an 85K tutorial dataset, cleaned it with a recursive MathML to LaTeX converter and a 4 stage dedup pipeline with number signature and correct answer guards so near duplicate questions with flipped meanings don't get falsely merged. • Fine tuned Qwen 3.5 (27B) into a persona conditioned tutor on 85K SFT + 30K preference pairs, taking the rubric score from 48% to 87%.

Attachments

Offer Letter

• Built a full stack C2 controller for a Red Teaming framework using gRPC with mTLS and Protocol Buffers (cut data size by 40%), wired JWT + RBAC for 50+ operators. Sole intern to get a remote continuation offer with a 28% stipend hike. • Designed a centralized operator audit system capturing IP, device fingerprint, geolocation and session telemetry, processing 100K+ events and detecting unauthorized access with 99% accuracy. • Deployed a scalable C2 server with AWS EC2 + MongoDB cluster + Docker network isolation, secured via Nginx reverse proxy, Cloudflare Full Strict HTTPS, X.509 internal mTLS and DNS based redirectors that obfuscate the real C2 IP. • Shipped an ML based request filter that blocked 95%+ of malicious traffic and cut false positives by 20%, plus a RAG based CVE intelligence system mapping host fingerprints to known vulnerabilities in real time. • Built an agentic red teaming MCP compatible system powered by Qwen 2.5 (32B) fine tuned with LoRA + RLHF, with grounding and episodic memory for autonomous operations.

Attachments

Offer Letter Letter of Recommendation

Attachments

CyStar Completion Certificate.pdfAttachment

• Prototyped a service that runs daily unit tests on products in development, cutting bug identification and fix time for the team. • Built and debugged RESTful APIs in Express.js handling 10,000+ requests a day, with 40% better response times and tighter auth. • Implemented secure JWT auth and RBAC, managing 5,000+ user accounts safely. • Refactored database queries dropping execution time by 60% on high traffic endpoints, and built n8n automations + MCP servers with tool calling, state management and guardrails for hallucination control in agentic AI systems.

• Worked with the core team behind Samvadini, the Government of India's multilingual messaging platform. • Shipped an offline first message queue with IndexedDB sync, dropping failed message deliveries by 85%, plus a real time messaging pipeline on WebSockets + Redis pub/sub with under 100ms latency. • Built a contact syncing and fetching feature for Samvadini, cutting API calls for newly fetched contacts by 30% through an optimized algorithm. • Programmed and linked 20+ new screens in React Native to the backend, improving page load performance by 75% (3s to 0.75s). • Re architected backend hot paths with request tracing and N+1 elimination, bringing P95 API latency down by 47%, and executed MongoDB schema migrations on a live system with 100K+ documents without service interruption.

Attachments

Offer Letter Samvadini Messenger

Recognition