Pradipta Nandi

I am a Technical Consultant driven by a pragmatic and logical approach, always seeking to master complex challenges and deliver effective solutions. My ambition fuels a continuous curiosity to explore innovative technical avenues, thriving in collaborative environments where I can contribute to impactful outcomes.

Experience

V

Technical Consultant

ValueLabs, India · Jan 2024 – Present

Not yet confirmed

• Architected a multi-agent incident-response copilot that ingests alerts, metrics, logs, traces, deployment history, runbooks, service ownership records and past postmortems across 12+ microservices to investigate incidents end to end.
• Orchestrated 6 specialized investigation agents through LangGraph, RAG and MCP to correlate evidence, rank root-cause hypotheses, flag probable change triggers and estimate service-level blast radius, cutting analysis time to 15 minutes per incident.
• Delivered human-approved remediation plans, live Slack and Teams incident summaries and source-linked postmortem drafts for 40+ production incidents, integrating Prometheus, Loki, Tempo, Docker, Kubernetes and Azure into a single observability stack.
• Engineered an AI POC-discovery copilot that researches a prospect's business model, product line, technology footprint and public priorities from a single company name or URL, screening 100+ target accounts to date.
• Grounded recommendations in internal delivery artifacts spanning 15+ case studies and reusable accelerators to propose relevant POCs, account stakeholders and next actions for sales and delivery teams.
• Integrated Slack and Teams for conversational account briefs, follow-ups, task creation, meeting summaries and manager-ready progress updates, reaching 20+ account stakeholders on a weekly cadence.
• Developed an AI-powered ATS that parses resumes, matches candidates against role-specific requirements and conducts structured 30-minute L1 voice interviews, processing 500+ resumes to date.
• Designed adaptive interview flows across 25+ competency areas that probe resume claims, project depth and role-specific skills, generating rubric-based evaluations, evidence summaries and follow-up questions for recruiter review.
• Established proctoring review signals and AI-guided L2 interviewer matching based on skills, delivery history, workload and prior feedback, equipping interviewers with L1 context and tailored evaluation prompts for 200+ candidates.
• Built an AI proposal-generation workflow that converts a client brief, RFP, or content idea into an editable, brand-aligned PowerPoint deck.
• Indexed 1,000+ historical presentations to retrieve references, reusable slides and visual patterns across 30+ proposal categories, each with source attribution.
• Generated proposal narratives and slide-wise content with reviewer built into the workflow before final export, reducing first-draft turnaround from roughly two days to under four hours.
• Developed a grounded legal-review assistant for a legal-services client that reads contracts in natural language and extracts obligations, deviations and key commercial terms across 15+ clause categories.
• Identified risky clauses, missing protections and inconsistent provisions by comparing 50+ agreements against approved templates, historical decisions and negotiation playbooks.

Technical Consultant

ValueLabs · Jan 2024 – Present

Not yet confirmed

• Working across Generative AI, agentic systems, full-stack engineering, and cloud observability to build production AI solutions for enterprise use cases.
• • Architected a multi-agent incident-response copilot using LangGraph, RAG, and MCP across 12+ microservices, orchestrating 6 specialized agents to correlate alerts, logs, metrics, traces, deployments, runbooks, and historical incidents.
• • Reduced incident investigation time to ~15 minutes and supported 40+ production incidents with human-approved remediation plans, automated summaries, and source-grounded postmortems.
• • Built an AI-powered POC discovery platform that researches company business models, technology footprints, and priorities, screening 100+ target accounts and grounding recommendations in internal case studies and accelerators.
• • Developed an AI recruitment platform that has processed 500+ resumes and conducts structured 30-minute L1 interviews across 25+ competency areas, generating rubric-based evaluations and evidence summaries.
• • Built an AI proposal-generation workflow backed by 1,000+ historical presentations, reducing first-draft turnaround from roughly 2 days to under 4 hours.
• • Developed AI-powered legal contract review workflows for clause extraction, risk identification, missing protections, and comparison against approved templates and negotiation playbooks.
• Tech: Python, FastAPI, LangGraph, LangChain, RAG, MCP, React.js, Next.js, Node.js, PostgreSQL, Redis, Azure, Docker, Kubernetes, Prometheus, Loki, Tempo

P

Full-stack Developer

pieofcare · Sep 2022 – Nov 2022

Not yet confirmed

• * Worked on a full-stack healthcare platform using React.js, Node.js, Python, MongoDB and REST APIs, contributing across both frontend and backend development.
• * Built and integrated application features for patient-facing workflows and implemented real-time communication using WebSockets.
• * Developed reusable UI components and connected frontend workflows with backend APIs for data retrieval and updates.
• * Contributed to a platform supporting 500+ users, helping improve overall patient engagement by approximately 20%.

SDE Fintech Associate (CIO)

Fintract Global · Jul 2022 – Sep 2022

Not yet confirmed

• * Developed frontend functionality for a UK-based fintech platform using Next.js, TypeScript and React.js.
• * Integrated frontend workflows with REST APIs, handling application data and building responsive, reusable components.
• * Worked on improving usability and user-facing functionality across a platform supporting 50+ concurrent projects.
• * Contributed to frontend enhancements associated with an approximately 25% improvement in user engagement.

D

Full Stack Developer Intern

DEEVA · Dec 2021 – Dec 2021

Not yet confirmed

• * Developed backend services using Node.js, designing and implementing REST APIs to support application functionality and frontend integration.
• * Built API endpoints for application operations, handling request processing, data flow, validation and structured responses between the frontend and backend.
• * Worked on backend routing and application logic while following a modular structure to keep APIs maintainable and reusable.
• * Collaborated on the full-stack application by integrating backend services with the frontend and testing API functionality throughout the development cycle.

What drives their work

The Architect

They design and construct robust systems that streamline complex operations.

Pradipta's superpower

You excel at designing and implementing intelligent systems that transform complex, time-consuming processes into efficient, well-structured workflows.

How Pradipta works

You would excel in teams focused on building scalable, intelligent platforms and optimizing internal processes through innovative technical solutions.