Building AI Infrastructure and Performance Layers

I bridge the gap between elite algorithmic problem-solving and production systems engineering[cite: 2]. My core focus lies at the intersection of autonomous AI execution layers, high-throughput RAG infrastructure, and performance-tuned backend systems[cite: 2].

I am looking for roles around AI Engineering, AI Infrastructure Engineering, AI Software Engineering, and High-Performance Backend Engineering for AI Products[cite: 2].

Signal	Proof
Agentic Systems	Dual-agent parent-child orchestration (AlgoSentinel), LangGraph state routing, multi-agent supply-chain monitoring workflows.
Retrieval & Grounding	Hybrid token/vector engines, z-score fusion retrieval, cross-encoder reranking, and deterministic citation validation[cite: 2].
Systems & Backend Depth	Custom Kubernetes CRD controllers (Go), edge-native middleware pipelines (TS), async event loops, and optimized PostgreSQL routing[cite: 2].
Competitive Programming	CodeChef #6 India / #76 Global, LeetCode Guardian (Top 0.9% globally), Codeforces Grandmaster[cite: 2].
Open Source	35 authored PRs across 22 repositories (14 merged) resolving parser grammar, resource safety errors, and concurrency panics.

Flagship Systems

Project	Why it matters
AlgoSentinel	Autonomous multi-agent PR review daemon. Profiles changed code functions inside ephemeral Docker sandboxes to map growth curves and catch algorithmic complexity regressions ($O(n) \rightarrow O(n^2)$).
EdgeSentinel	Edge-native bot detection engine deployed directly to Cloudflare Workers with sub-10ms overhead. Deploys a 5-tier request classification cascade backed by Durable Objects rate-limiting to eliminate KV state race conditions.
Grounded Support Triage	Multi-domain LangGraph orchestration pipeline featuring hybrid vector/BM25 search, unified z-score fusion, and a programmatic verification layer checking hard facts to completely eliminate model hallucinations[cite: 2].
TurboQuant KV Cache	PyTorch research implementation reproducing online vector quantization paper. Achieved a 3.3× KV cache compression ratio on GPT-2 Medium with only a +6.1% change in perplexity performance metrics.
MindSafe	Privacy-first clinical mental health screening dApp. Runs adaptive inference entirely client-side with zero data persistence, minting cryptographic commitment hashes on-chain via Midnight Network zero-knowledge (ZK) proofs.
sandbox-warm-pool-controller	Kubernetes custom CRD controller built in Go that implements a 6-state pod lifecycle pool to pre-warm hardware-isolated runtimes (gVisor/Kata), completely eliminating 1–5s container cold-start delays.

Secondary Implementations: Avia Search, FounderOS, Nexus Feed, PinPoint AI, BTIFIT Platform, AI Traffic Shaper.

Open Source Footprint

🔸 Merged Production Code

Repository	PR	Area	Impact
mem0ai/mem0	#3549	AI Data Infrastructure	Engineered and integrated the native Azure AI Search vector database connector layer within the TypeScript SDK core (~646 LOC contribution).
sqlfluff/sqlfluff	#7163	Parser Engineering	Extended the core PostgreSQL dialect grammar engine rules to properly parse explicit programmatic OPERATOR(schema.op) syntax overrides.
pandas-dev/pandas	#62592	Core Test Engineering	Developed robust regression test suites safeguarding PyArrow datetime data-type data merges against unexpected duplicate-key drops.
interviewstreet/hiring-agent	#133	Performance & Safety	Eliminated critical background memory leak vectors by converting raw PyMuPDF file object tracking loops into safe context-managed lifecycles[cite: 2].
interviewstreet/hiring-agent	#129	System Robustness	Enforced explicit UTF-8 encoding patterns on backend cache file write operations to guarantee Windows file system Unicode execution safety[cite: 2].

🔸 Active Upstream Engineering (Open Review)

• Telemetry Streaming (kubeflow/sdk#436): Refactoring LocalJob.logs(follow=True) execution loops into native generator streams to remove hidden stdout-blocking side effects and enable real-time training tracking telemetry.
• Symbolic Mathematics (sympy/sympy#29605): Patching refine_sign() logic architectures to fix assumption handling constraints for unallocated plain variables.
• Test Correctness (modelpack/model-spec#211): Resolving silent test passes on malformed JSON configuration examples by fixing error variable conditional evaluations.