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a3ro-dev/README.md

Akshat Singh Kushwaha

CTO @ bits&bytes · Systems & AI Engineer · Retrieval & Infra

Portfolio GitHub LinkedIn X Email

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At a glance

i build retrieval engines, backend infrastructure, and AI tools under tight hardware and latency constraints.

most of my work is about making models and systems useful when memory, money, or compute run out. i care more about TTFT, context window management, zero-downtime persistence, and clean abstractions than benchmark scores.

i default to lower-case, first-principles code, and software that doesn't break when real users touch it.

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Featured projects

Local-native vector + graph retrieval engine combining FAISS HNSW dense search, NetworkX graph proximity, and bm25s lexical search.

  • Reciprocal Rank Fusion (RRF k=60) with mxbai-rerank-large-v2 cross-encoder reranking
  • TEI 4096-dim embeddings + RunPod vLLM multi-hop query decomposition
  • Atomic .mind persistence with SQLite WAL mode & SHA-256 verified manifests

AI-native health & cycle prediction engine with persistent long-term memory and structured UI rendering.

  • Adaptive exponential smoothing with ACOG population priors & 2.5σ soft outlier clamp
  • Next.js 15 App Router, Neon Postgres + Drizzle ORM, Vercel AI SDK v6
  • Supermemory v4 API per-user fact recall + OpenUI DSL dynamic cards

Core production platform & monorepo for GOBITSNBYTES FOUNDATION (Section 8 non-profit builder network).

  • FastAPI backend + Next.js web monorepo
  • Custom IAM engine with async SQLAlchemy policy evaluator & audit logs
  • RazorpayX ledger & institutional banking pipeline

Multi-agent legal intelligence platform built during legal tech research & production sprints.

  • Semantic caching cutting LLM API costs by 60%
  • Real-time WebSocket document editing & RAG pipeline
  • WhatsApp IVRS case onboarding & Gemini voice transcription

Currently

bits&bytes™ (GOBITSNBYTES FOUNDATION) — Chief Technology Officer & Tech Lead. Built the technical stack from scratch; running hackathons, dev squads, and product launches for student builders nationwide.

Previously Research Engineer at jhana (Nov 2025 – Jan 2026): context-window manager for long legal dictations, multimodal consultation analysis, and real-time WhatsApp case intake handling 1.6M+ quarterly requests.

Tech stack

Languages: Python, TypeScript, SQL, Bash, Dart
Backend & APIs: FastAPI, Next.js (App Router), Node.js, Express, REST & WebSockets, Pydantic v2
Retrieval & LLMOps: FAISS, NetworkX, BM25, TEI, vLLM, Cross-Encoders, Vercel AI SDK, Docker
Databases & Storage: PostgreSQL (Neon), SQLite (WAL), Redis, Drizzle ORM, Prisma
Cloud & Operations: AWS (EC2/S3), RunPod, Vercel, pnpm, CI/CD, Linux, Git
Hardware & Edge: Raspberry Pi, ESP32, Pygame/NumPy audio pipelines

Current interests

  • tri-signal retrieval fusion (combining vector HNSW, graph topologies, and BM25 lexical scores)
  • adaptive time-series prediction engines on noisy user data with cold-start priors
  • self-hosted LLMOps, reducing TTFT and inference costs without accuracy loss
  • zero-downtime, local-first database persistence (.mind bundles & SQLite WAL)
  • student builder networks & un-gatekept tech education
GitHub Stats Top Languages
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