Monish Nallagondalla · AI Product Manager · Bengaluru Portfolio · v2026

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Product Manager — AI · Multi-agent LLM systems · RAG · 5+ yrs · MSc Data Science,Coventry University,UK

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Monish Nallagondalla
Monish Nallagondalla Product Manager · AI
Role target
AI-first - Product Manager
Experience
5+ yrs
Projects
MSc Data Science,Coventry University,UK
Also
Consulting
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00 / About

The short version.

Monish Nallagondalla
"

Technical enough to build it. Product-minded enough to know if we should.

— The job description, basically

I'm an AI Product Manager with 4+ years of cross-domain experience across India and the UK — and 1.2+ year of hands-on AI product management across healthtech, edtech, and early-stage AI startups.

Rare combination: technical depth in multi-agent LLM systems, RAG pipelines, Python, SQL, and agentic AI workflows — with real product execution. PRDs, user research, sprint planning, roadmapping, cross-functional delivery.

I've designed AI agents handling 37 real-world edge cases, architected complete AI product systems from scratch, and coordinated engineering teams across iOS, Android, and backend.

Looking to grow fully into product management at an AI-first company where technical credibility and product thinking are both valued.

applyai.today is both my portfolio and a lightweight consulting surface — when I'm not doing PM work full-time, I take select engagements helping teams ship real AI. M.Sc. Data Science, Coventry University, UK.

5+
Years experience
5+
Clients Managed
20+
AI agents designed
20+
People mentored
01 / Work

Where I've been shipping.

Click rows to expand
02 / Projects

Selected builds.

60+ more on GitHub
01 / flagship
Multi-agent · LangChain · Groq
12-agent orchestration system for course & career guidance

Designed and delivered a full multi-agent stack for Pingmedia — course recommender, career advisor, eligibility evaluator, comparison agents — demonstrating practical orchestration across a real user journey.

CrewAILangChain Multi-agentPython
02
Healthtech · iOS + Android
AI recipe agent — 37 edge cases, 30+ Indian states

Shipped to production. Ingredient compatibility, dietary restriction conflicts, substitution logic, regional food variations. Plus: human-in-the-loop approval workflow for dieticians.

LLM agentsHITL PRD
03
Production ML
PhishingGuardML — full production lifecycle

End-to-end ML product: FastAPI, MLflow, Docker, GitHub Actions CI/CD, AWS ECS. Technical depth demonstrated across the whole stack, not just a notebook.

FastAPIMLflowDocker AWS ECSCI/CD
04
RAG · LLM
Conversational SQL chatbot

NLP-to-SQL via LangChain + Groq + Streamlit. Natural-language querying over SQLite and MySQL.

LangChainSQL
05
RAG · Agents
Multi-source RAG research agent

LangChain agents + Groq querying Arxiv, Wikipedia, DuckDuckGo. Real retrieval logic, not toy demos.

RAGLangChain
06
CrewAI · Agents
YouTube-to-blog pipeline

Multi-agent pipeline for content transformation — transcription → summarization → publishable draft.

CrewAIAgents
07
Edtech · End-to-end architecture
Complete AI product system, zero to one

At Nirmaan: architected RAG curriculum assistant, hyper-personalised learning engine, AI whiteboard, tutoring agents, and voice interactions (ASR/TTS). PRDs, BRDs, technical requirement docs, system architecture diagrams — and the eval framework to measure all of it.

CrewAILangChain RAGASR/TTSArchitecture
08
Mentorship · Program
AI/ML curriculum + 20+ learners mentored

Designed complete AI/ML learning curriculum at Syncner. 13 end-to-end case study projects for 3–5 student teams. Built AI-assisted resume builder + interview prep platform — shipped to learners.

CrewAICurriculumMentorship
See all 60+ projects on GitHub →
03 / What I do

Full-time first.
Consulting second.

70 / 30 split

Primary goal: join an AI-first product team as an APM. In parallel, I take a small number of consulting engagements where I can ship real value fast.

Hire me
01 / Full-time

AI Product Management

APM or PM roles at AI-first companies. Discovery → PRDs → sprint delivery → launch → measurement. Comfortable reading model evals and investor decks in the same day.

Target · Startups & scale-upsApr 2026 →
Hire me
02 / Full-time

Technical Product Manager

Roles that want a PM who can read and write code, architect agent systems, and translate between engineering and GTM without losing either audience.

Target · AI-native orgsApr 2026 →
Hire me
03 / Full-time

Data Science / AI engineering

Also open to IC roles with product influence — predictive modeling, analytics dashboards, data-driven decision systems. Delivered 30+ Tableau dashboards for UK enterprise clients.

Target · Data-heavy teamsApr 2026 →
Consulting
04 / Engagement

AI readiness audit

2–3 week scan. Workflow audit, data maturity check, stakeholder interviews. Output: opportunity map + 90-day plan with ROI estimates.

Teams · 2–3 wksFixed-fee
Consulting
05 / Engagement

AI agent & workflow build

PRD → agent architecture → RAG pipeline → eval framework → observability. Zero-to-prod for one high-leverage workflow. Includes team enablement.

Teams · 1–3 moRetainer
Consulting
06 / Engagement

Analytics & dashboards

Tableau, Power BI, Mixpanel, Amplitude, SQL. Conversion funnel analysis, product metrics definition, KPI/OKR tracking systems for product teams.

Teams · 2–6 wksFixed-fee
04 / Try

A live readiness check — I built it in this page.

Powered by Claude
applyai.today — live readiness check

Tell me what you or your team actually does —
I'll score your AI readiness and suggest the first three moves.

05 / FAQ

Questions you're probably thinking.

Plain answers
Are you looking for a job, or selling consulting?+
Both — with a clear priority. 70% of my energy is on landing a full-time APM / PM role at an AI-first company. The other 30% is consulting work I take between cycles or in parallel when it's a fit. If you're a recruiter, go to Contact. If you're a team with an AI problem, same link works.
Why APM at your experience level?+
I have deep technical background (4+ years data science, ML, AI systems) but the formal PM title is newer — ~1 year of owning product end-to-end. APM at an AI-first company is where my technical depth and product instincts compound fastest. I'm not looking for "entry-level" — I'm looking for the right velocity.
Where are you based, and are you open to relocation?+
Bengaluru, India. I hold an M.Sc. from Coventry University (UK) and have worked across UK teams. Remote-first is ideal. Open to relocation for the right role — US, UK, Europe, Singapore, UAE.
What would your first 30 days look like?+
Week 1: listen. Shadow users, read the last 6 months of tickets and retros, talk to every PM / engineer / designer. Week 2: map the product + the ICP + the top 5 friction points. Week 3: ship one small improvement end-to-end to earn trust. Week 4: first PRD with measurable outcomes. No 90-day strategy deck — a shipped artifact.
Do you do freelance / fractional work?+
Yes, within limits. Short-scope engagements (2-12 weeks) or ~1-2 days a week fractional. I don't take open-ended retainers that conflict with a full-time path.
How do I actually reach you?+
Email: nsmonish@gmail.com. LinkedIn is probably fastest. I respond within a day.

Let's build.
Today.

Hiring? Consulting? Just want to talk shop about agents and eval?
I reply to everything within 24 hours.

Email Monish →
nsmonish@gmail.com +91 95388 09196 LinkedIn GitHub