Parik Ahlawat

CTO

Bengaluru, Karnataka, India5 yrs 5 mos experience
Highly StableAI Enabled

Key Highlights

  • Built 486 automations and 66 AI agents.
  • Improved LLM accuracy by 15-25% on benchmarks.
  • Developed multi-agent systems for real-world applications.
Stackforce AI infers this person is a Senior AI Consultant specializing in FinTech and SaaS solutions.

Contact

Skills

Core Skills

Ai AgentsArtificial Intelligence (ai)Large Language Models (llm)Performance BenchmarkingArtificial Intelligence For Business

Other Skills

AutomationService-Oriented Architecture (SOA)AI Software DevelopmentEmbedded SystemsLeading Development TeamsAI SolutionsPython (Programming Language)Vector DatabasesDeveloper RelationsSoftware DevelopmentFull-Stack DevelopmentEthereumJavaScriptReact.jsNext.js

About

Most AI projects die between demo and production. I make sure yours doesn't. I've built 486 automations, 66 AI agents, and 27 RAG pipelines across 22 projects for FinTech, advertising, SaaS, logistics, media, and developer tools. Not prototypes. Systems running in production serving real users. 𝗪𝗵𝗮𝘁 𝗜 𝗗𝗼 I help businesses go from "we want AI" to "it's running and making money." · Architect multi-agent systems with tool-calling, orchestration, fallback strategies, state machines · Build full-stack AI applications end-to-end (FastAPI, Next.js, PostgreSQL, Redis, Celery) · Design RAG pipelines that actually retrieve the right context, not hallucinate · Set up n8n and automation workflows that replace manual processes overnight · Evaluate and optimize LLM performance. Built evaluation frameworks across Gorilla BFCL, τ-bench, and LiveBench 𝗣𝗿𝗼𝗼𝗳, 𝗡𝗼𝘁 𝗣𝗿𝗼𝗺𝗶𝘀𝗲𝘀 → Built a 77-automation AI ad platform. Competitor scraping, AI copy generation, image/video pipelines, Meta Ads publishing, Slack approval workflows. For a marketing agency. → Built a neuro-symbolic reasoning engine that improved LLM accuracy 15-25% on four industry benchmarks. At CoreThink AI. → Built a meeting intelligence platform. RAG over 475+ meeting transcripts, action item extraction, Slack delivery. 23 automations. → Built multi-agent coding workflows (planner → coder → reviewer → fixer) with self-critique loops that reduced developer effort 60%. At AccelChain. → Built an open-source agent framework with 108 automations. 21 agents, 27 skills, MCP servers, Telegram control plane, knowledge graph. 210 commits. 𝗦𝘁𝗮𝗰𝗸 Python · TypeScript · FastAPI · Next.js · React · LangChain · LangGraph · OpenAI · Claude · Gemini · PostgreSQL · Redis · Qdrant · Pinecone · Neo4j · Docker · n8n · Celery · MCP Purdue CS '18 · 100% Job Success on Upwork · Remote · Available for consulting, builds, and retainers. Have a project? DM me with what you're building. I respond same day.

Experience

5 yrs 5 mos
Total Experience
1 yr 11 mos
Average Tenure
--
Current Experience

Craftifai

Team Lead | Agentic AI

Nov 2025Dec 2025 · 1 mo

  • Lead development of AI-agent workflows and intelligent automation pipelines that power CraftifAI’s embedded and edge-AI platform, focusing on model orchestration, tooling, and integration with engineering teams.
  • Build and maintain AI pipelines that transform high-level GenAI outputs into production-ready artifacts such as drivers, SDK components, and firmware assets used in embedded product development.
  • Collaborate closely with firmware, FPGA, and systems engineers to integrate AI capabilities into hardware workflows, ensuring models and agents fit real-world performance, memory, and deployment constraints.
  • Develop and optimize AI models for efficient on-device inference, applying quantization, pruning, and pipeline automation while continuing to expand practical embedded-systems knowledge through hands-on integration.
  • Contribute to system design, technical direction, and cross-team delivery for CraftifAI’s embedded-AI solutions, helping move concepts from prototype into deployable products across robotics, IoT, and automation use cases.
AI AgentsArtificial Intelligence (AI)

Corethink ai

Lead AI Engineer

Apr 2025Aug 2025 · 4 mos · San Francisco Bay Area · Remote

  • Key Contributions & Technical Achievements:
  • Neuro-Symbolic Architectures: Developed neuro-symbolic Chain of Thought (CoT) workflows that moved beyond simple logic to ensure deterministic behavior in complex state machines.
  • Benchmark Excellence: My implementation of agentic loops and SRMs resulted in a 15–25% boost in LLM accuracy. These solutions achieved top rankings on industry-standard benchmarks including SWE-Bench, TAU, BFCL, and ARC-AGI-2.
  • System Optimization: Focused on "Architectural Maturity" from Day 1, implementing production-ready features like authentication, rate-limiting, and error recovery. I reduced agent response latency by ~30% through aggressive caching and lightweight reasoning steps.
  • Observability & Leadership: Established monitoring standards using LangSmith to track hallucinations, bias, and accuracy drift while mentoring a team of junior engineers on prompt versioning and evaluation pipelines.
Large Language Models (LLM)Performance Benchmarking

Accelchain

Lead Software Engineer

Apr 2023Aug 2025 · 2 yrs 4 mos · Remote

  • Developed AI solutions for Blockchain Engineers.
  • Grant winner from Solana and Polkadot.
  • Worked on model accuracies, tool calling, AI automations for developers.
Artificial Intelligence (AI)Artificial Intelligence for Business

Freelance

Software Developer

Mar 2020Apr 2023 · 3 yrs 1 mo · Remote

  • Worked as a freelancer on Full Stack projects
Artificial Intelligence (AI)Automation

Education

Purdue University

Bachelor of Science - BS — Computer Science

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