GTM intelligenceCase 01
Killed $2k/mo data subscriptions — fresher data, a fraction of the cost.
$2k/mo → fraction
Subscription cost
60–90d → 7–14d
Data freshness
3–4h → <30min/day
SDR research
PythonClayn8nHubSpot API+2
Build something like thisOpenAvailable for fractional & full-time — Q3 2026
Applied AI systems, shipped to production.
I'm an Applied AI Engineer who builds RAG pipelines, multi-agent systems, and Clay / n8n / HubSpot automation that B2B revenue teams actually run — not demos that die in staging.
5+ systems shipped · Bengaluru, IST · remote worldwide · replies in 1 business day
Trusted by teams at
0.0+
yrs
production AI experience
0+
deploys
production AI systems shipped
0%
reduction
manual ops via OCR pipeline
0+
followers
AI community on LinkedIn
Media & Features
Featured by leading AI companies
Podcast guest and featured engineer — talking production AI systems, agentic architectures, and real-world GTM automation.
AI Hero Feature
DataStax·2025
DataStax AI Hero: Sreesha Baraar
Featured by DataStax as an AI Hero — sharing insights on building with Generative AI, favorite dev tools, and advice for aspiring AI engineers.
Watch
Live Session
Setu School·2025
Agentic AI Application Development
Live session with Setu School on building Agentic AI applications — covering multi-agent architectures, LangGraph, CrewAI, and deploying AI agents to production.
Listen
Pick your lane
Same engineer, two ways to work.
Hire an engineer who ships, not one who demos.
2.5+ years building RAG, multi-agent workflows, and GTM automation that runs in production. I don't leave until it's deployed, monitored, and the team can run it without me.
Download ATS resumeRoles I fit
Applied AI EngineerGenAI EngineerForward Deployed AI EngineerGTM Engineer / AI GTMAI Automation EngineerFractional / contract AI
Proof
- Senior SWE — GenAI @ Motiveminds (enterprise SAP/Salesforce)
- SWE — GenAI/GTM @ W3 SaaS, Dubai DIFC (fintech-grade)
- GenAI Research Intern @ Blockchain Laboratories, Wyoming
- Full-stack @ Hyderabad Forex (OCR pipeline, regulated finance)
The problem
Most AI projects never make it to production. The rest fail in Q1.
Worked in staging, broke on day one.
Pilot looked great in the demo. Then it hit real data, real users, real latency. Production is a different planet.
Manual work that should've been automated.
Revenue team researching leads by hand. CRM updated one field at a time. Prospects routed through spreadsheets.
Beautiful demo. Nobody uses it.
Vendor delivered a slick demo. The system around it — retrieval, routing, fallbacks — was never built.
My lane: AI engineering ∩ revenue operations. I build the system, not just the model.
Services
Six ways to put me to work.
Fixed-price or retainer. Every project ships with deployment + 2-week post-launch support.
What's included
GTM Lead Intelligence Sprint
1–2 weeks · $1,500 – $3,000
- ICP filter design + account criteria
- Sourcing via Clay, Apollo, scraping, Google Maps
- Waterfall enrichment + LLM lead scoring
- HubSpot / Salesforce / Airtable handoff
What's included
Clay + n8n Outbound Engine
2–4 weeks · $2,500 – $5,000
- Clay table architecture + waterfall enrichment
- n8n automation + HubSpot/Salesforce push
- LLM personalization (first lines, research packets)
- Alerts + error handling + monitoring + docs
What's included
RAG System Build
2–4 weeks · $3,000 – $6,000
- Multi-document ingestion + OCR pipeline if needed
- Hybrid retrieval (BM25 keyword + vector semantic)
- Citation-grounded answers + hallucination guardrails
- FastAPI service + Docker deployment
What's included
Agentic AI Workflow Build
3–5 weeks · $3,000 – $8,000
- Multi-agent architecture (LangGraph / CrewAI / AutoGen)
- Tool calling, planning loops, state mgmt
- Self-correcting workflows with error recovery
- Observability + evals + FastAPI/Docker deploy
What's included
Document Intake + AI Assistant
3–6 weeks · $3,000 – $8,000
- PDF / form / document ingestion + OCR pipeline
- Field extraction + structured data output
- RAG assistant for internal document search
- FastAPI REST API wired into CRM / ops
What's included
Fractional AI Retainer
Ongoing · $1,500 – $4,000 / mo
- 8–20 hrs/week depending on tier
- Weekly async updates + Loom walkthroughs
- Priority response within 4 business hours
- Monthly scope review + roadmap session
AI Audit — entry offer
45-min call + written roadmap. Filters tire-kickers, feeds bigger projects.
$150 – $300
fixed scope
Case studies
Outcomes, not screenshots.
Four production deployments — across lead intelligence, sales automation, enterprise RAG, and regulated finance.
Sales automationCase 02
Decks + personalized email in minutes, not hours.
2–4h → <10min
Time per deck + email
10 → 50+/wk
Outbound capacity
every step → 1 gate
Human review gates
n8nGeminiGoogle Slides APIGmail API+1
Build something like thisEnterprise RAGCase 03
Citation-grounded assistant over hundreds of internal PDFs.
30–90min → <2min
Doc search time
None → 100% cited
Answer grounding
Manual → automated
Cross-doc synthesis
LangChainLlamaIndexFAISSAstraDB+3
Build something like thisRegulated financeCase 04
−40% manual entry, −30% onboarding at a regulated forex firm.
−40% auto-extracted
Manual data entry
−30% faster
Onboarding time
frequent → reduced
Compliance rework
PythonOCR / CVFastAPIREST APIs
Build something like thisSelf-hosted n8n on GCP — production automation backbone
Replaced $500+/mo SaaS subscriptions with self-hosted n8n on GCP — Docker Compose, PostgreSQL, Nginx, SSL. The infrastructure layer behind every GTM/RevOps workflow I ship.
Infrastructure
Docker · GCP · n8n
“I build the system, not just the model. From LangGraph agent to FastAPI deployment to HubSpot sync — I own the full stack and I don't leave until it runs in production.”
BBaraar SreeshaApplied AI & GTM Systems Engineer · Bengaluru
How we work
How it works, step by step.
01
Discovery call
20 min · free
We discuss your workflow, pain points, and goals. I ask the right questions to understand what's actually broken.
02
Scoping & proposal
2–3 days
I map the architecture, scope the build, define deliverables + acceptance criteria. Fixed-price proposal. No hourly surprises.
03
Build & iterate
1–6 weeks
I build with weekly async Loom updates. You see every major decision. No black boxes, no surprise pivots.
04
Deploy + handoff
Final week
I deploy, write the docs, run a walkthrough call. You own the code. 2-week post-launch support included.
Tech stack
The full kit — picked per job, not per comfort.
I pick the right tool for the problem, not the one I'm most comfortable with. Here's the bench.
AI orchestration
LangGraphCrewAILangChainLlamaIndexAutoGenAgent ZeroLangFlow
LLM providers
OpenAI GPT-4Anthropic ClaudeGoogle GeminiAzure OpenAIVertex AIGroq
Vector DBs & retrieval
QdrantPineconeFAISSAstraDBMongoDB AtlasBM25 Hybrid
GTM & RevOps
Clayn8nMakeZapierApolloZoomInfoHubSpotSalesforce
Backend & APIs
PythonFastAPIFlaskRESTWebhooksStreamingStructured JSON
Infrastructure
DockerDocker ComposeGCPPostgreSQLNginxCI/CDGit
Observability & evals
LangSmithLangfusePhoenix ArizeEvalsGuardrailsHallucination control
Data & scraping
Python scrapingGoogle Maps APISQLSnowflakedbtMongoDBOCR / CV
Certifications
LangChain: Chat with Your Data· DeepLearning.AIMulti-Agent Systems with CrewAI· DeepLearning.AIGenerative AI for Everyone· Andrew NgIntro to Generative AI· Google CloudDell Technologies AI-THON· Dell
About
I close the gap between AI engineering and revenue operations.
I build AI systems that ship to production — not just demos. Latency budgets before model selection. Fallback paths before the happy path. Monitoring before the feature code.
Currently Senior SWE — GenAI & Solutions Architect at Motiveminds Consulting. Open to fractional, scoped, and full-time Applied AI / GTM / FDE roles.
LangGraph multi-agentRAG · 95%+ accuracyClay + n8n GTMFastAPI · Docker
Based
Bengaluru, India
Community
RAG++ · 3,700+ LI
Experience timeline
Jul 2025 – Present
Senior Software Engineer — GenAI & Solutions Architect
Motiveminds Consulting · Bengaluru, India · Remote
- Enterprise SAP + Salesforce GenAI workflows
- Multi-agent systems · RAG @ 95%+ accuracy
- FastAPI + LangSmith observability
Jan 2025 – Jul 2025
Software Engineer — GenAI / GTM
W3 SaaS Technologies · Remote · Dubai International Financial Centre
- +20% lead-gen · +50% outbound acceleration
- Clay / n8n / Apollo / HubSpot automation
- Dockerized FastAPI for fintech-grade workflows
Jul 2024 – Dec 2024
GenAI Research Intern
Blockchain Laboratories · Remote · Wyoming, United States
- Multi-agent prototypes: LangGraph, CrewAI, AutoGen
- +25% RAG performance via retrieval eval
- Hallucination control research for enterprise PoCs
Apr 2024 – Aug 2024
Full Stack Developer
Hyderabad Forex Limited · Hyderabad, India
- −40% manual data entry · −30% onboarding time
- OCR KYC pipeline + FastAPI REST API
- Production deployment in regulated finance
2020 – 2024
B.E. Computer Science
JSS Science and Technology University · Mysuru, India
- Algorithms · systems · databases · networks
FAQ
The stuff people actually ask.
Writing
View all postsThings I've shipped & learned.
Book a demo
Ready to build something that actually runs in production?
Manual ops that should be automated. AI prototype that never shipped. GTM system on spreadsheets. A 20-min call is enough for me to tell you if I can help.
Bengaluru, India · IST (UTC+5:30)Responds within 1 business day