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Purshottam S.

Purshottam S.

FDE | LLMO - RAG - Agentic Workflows

Most AI projects fail not because of bad code — but because nobody connected the technical decisions to the business goals. That's the gap I close. I'm a Full Stack Architect and Technical PM with 14+ years of engineering experience, an IIM Indore management credential, and hands-on expertise in LLM systems, RAG pipelines, and agentic workflows. I've delivered solutions across fintech, banking, insurance, automotive, retail, and AI SaaS — working with teams of 1 to 20 engineers, managing budgets, writing Scopes of Work, and shipping production systems that keep running long after the contract ends. ── What makes me different ── I operate at two levels most freelancers can't: → Product level: I define what needs to be built, write the technical roadmap, scope the project honestly, and align the architecture with your business constraints — before a single line of code is written. → Engineering level: I build it. LLM integrations, RAG pipelines with semantic search, multi-agent systems, APIs, cloud infrastructure, CI/CD — end to end. This means you don't need a separate PM and a separate architect. You get both, with no translation layer in between. ── What I build with AI ── → RAG Systems: AI that answers from your actual data — documents, databases, internal knowledge — accurately and at scale. Built with LangChain, LlamaIndex, Pinecone, pgvector, and Weaviate. → Agentic Workflows: Multi-agent systems using LangGraph and CrewAI that automate complex, multi-step business processes — with the guardrails to keep them reliable in production. → LLM Observability: I don't just ship AI — I instrument it. RAGAS evaluations, LangSmith tracing, and performance benchmarking so you know what's working and what isn't. → AI on AWS / Azure / GCP: Bedrock, Lambda, serverless — secure, scalable, cost-optimized deployments. ── Project and Delivery ── Technical roadmap development · Scopes of Work · Agile / Scrum / Kanban · Budget management · Team hiring and mentoring · Jira, Confluence, Monday ── Core engineering stack ── Python (FastAPI, Django) · Node.js · React · Next.js · TypeScript · PostgreSQL · MongoDB · Docker · Kubernetes · CI/CD · OAuth2 / JWT ── Industries ── Fintech · Banking · Insurance · Automotive · Retail · AI SaaS · Media I'm direct and proactive. If scope needs to shift, if a simpler solution saves you three months, or if something is going off track — you'll hear it from me before it becomes a problem. If you're building an AI product and need someone who thinks at the business level and executes at the engineering level — let's talk.

🇮🇳Indore, India$65/hr100% JSS4.99 (13)Since Oct 2018
GlobeUpwork

Earnings and projects

MRR
$797

Last 6 months ÷ 6

World#58,112 / 412k
🇮🇳Country#6,315 / 45.9k
Revenue, last 30 days
$0

Last 6 months: $4.8k

Total earnings
$88k

Billed in all: $94k

World#45,089 / 412k
🇮🇳Country#7,180 / 45.9k
Per project
$6.3k

$1.6k in the last 6 months

World#27,471 / 412k
🇮🇳Country#2,994 / 45.9k
Projects, last 6 months
3
0% fixed100% hourly
World#66,479 / 412k
🇮🇳Country#7,740 / 45.9k
Projects in all
14

Across 18 contracts

50% fixed50% hourly
World#168,283 / 412k
🇮🇳Country#23,126 / 45.9k

Earnings, last 30 days

$94.4kNothing earned in the last 30 daysBilled in all, before Upwork's fee · drag across the chart to see what was earned in any stretch
$93k$94k$95k$96kOct 8Oct 23Nov 7

Skill rankings: Top 12% in Blockchain Architecture

Ranked by MRR among everyone on Upwork with the skill.

  1. #36Blockchain Architecture305 freelancers · 🇮🇳 #14Top 12%
  2. #193Solution Architecture1,009 freelancers · 🇮🇳 #24Top 19%
  3. #335Technical Project Management1,684 freelancers · 🇮🇳 #21Top 20%
  4. #410Product Management2,632 freelancers · 🇮🇳 #30Top 16%
  5. #441Google Cloud Platform2,939 freelancers · 🇮🇳 #70Top 15%
  6. #627Large Language Model2,726 freelancers · 🇮🇳 #136Top 23%
  7. #891Retrieval Augmented Generation3,618 freelancers · 🇮🇳 #193Top 25%
  8. #1,051Generative AI5,038 freelancers · 🇮🇳 #255Top 21%