David Jeremie Anand

I build AI systems, then prove they work.

Applied AI / Agentic Systems / Data and Workflow Solutions

New Delhi, India

View the work jerryanand10@gmail.com Résumé

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The short version

I make vague systems measurable.

Two years at Genpact turning tangled operations into numbers you could act on — then bringing the same discipline to AI, where almost nobody measures anything. I build agentic RAG, multi-agent reasoning and LLM evaluation, each backed by tests and CI, and I’m currently pursuing a PGP in Applied AI and Agentic Systems at Masters’ Union.

0 Faster turnaround
0 Fewer defects
0 Productivity uplift
0 Less reporting effort

Selected work

Things I built, and why they exist.

01Python · FastAPI · Ollama/Groq · pytest

FirstLine — An AI First Line of Support

I worked in an ops queue for two years. FirstLine is that job rebuilt as an agent: it triages a live incident queue — root causes, SLA clocks, escalation judgment, RCA drafts — on a simulated ops floor that knows the truth behind every ticket it generates.

Which means the agent can be graded, not vibed about. Every shift ends in a scorecard — triage accuracy, missed P0s, escalation precision — because the simulator holds hidden ground truth the agent never sees.

FirstLine · eval real capture
$ firstline run --scenario fog --seed 7 35 tickets · severities lie · shift 480m rules triage 1.000 · esc-prec 1.000 · 100.0 llama3.2 triage 0.857 · esc-prec 0.529 · 81.4 the 3B cried wolf — 17 escalations, 8 needless 0 missed P0s on either backend
768-test CI Live shift dashboard Ollama · Groq · offline rules
Case study →GitHub ↗Live demo ↗
02Python · asyncio · pytest · GitHub Actions

PromptDrift — Prompt Regression Testing

You tweak a prompt to fix one bad case, it works, you ship it — and three other cases broke silently. PromptDrift snapshots prompt behaviour into a committed baseline and fails CI when a change makes things worse.

It refuses to answer “is this prompt good?”, which is unanswerable, and answers “is it worse than yesterday?” — the question that actually blocks a merge. Cheap deterministic checks run first and short-circuit the paid LLM-as-judge calls.

promptdrift · run real capture
$ promptdrift run suite.yaml offline-demo · mock · 4 cases ✓ 3 passed ✗ billing 100% → 0% REGRESSED — expected 'BILLING', got 'OTHER' FAIL 3/4 · exit 1 · merge blocked
157-test CI Python 3.10–3.13 Runs fully offline
View repository ↗
03FastAPI · FAISS

Synapse — Agentic RAG Assistant

BM25 and FAISS fused through Reciprocal Rank Fusion with LLM listwise reranking, feeding a four-stage agent loop of planner, retriever, synthesizer and critic.

The critic is the interesting part: it grounds every answer in retrieved evidence and flags its own unsupported claims.

synapse · critic real capture · llama3.2
query what changed in Q3 policy? draft retention now 365 days [1] applies to all regions [1] critic ✗ not supported — [1] says 180, not 365 ✗ "all regions" — no excerpt → sent back to draft [1] policy_v3.pdf [2] notes.md
31-test CI Render
Case study →GitHub ↗Live demo ↗
04Flask · SQLite · Docker

Ledgr — AI Finance Manager

A full-stack finance tracker with dashboards, budgets and CSV import/export, plus AI categorisation using concurrent LLM calls with a keyword fallback that works with no network at all.

Its assistant calls tools to query real transaction data rather than trusting an LLM to do arithmetic.

ledgr · tool call real capture
user dining spend last month? tool get_totals( start="2026-07-01", end="2026-07-31", category="Food & Dining") → expenses 79.32 · 3 rows reply 79.32 on dining in July the database did the maths
58-test CI Tool-calling
Case study →GitHub ↗Live demo ↗
05SDR · RF and wireless systems

Wireless Temperature Detection — HackRF One

An RF prototype that pulls remotely transmitted temperature signals out of the air and decodes them — the full software-defined radio chain of capture, filtering, demodulation and decoding, validated against a reference sensor.

The waterfall behind the title of this page is a spectrogram, the display this project lives in. It seemed a fitting thing to open with.

Signal analysis Anomaly detection

Experience

Two years inside the machine.

2024Aug 2024 — Aug 2026

Genpact

Associate and Subject Matter Expert — Operations · Gurugram & Noida
  • Analysed high-volume workflows and drove process redesign, contributing to an 18% reduction in turnaround time.
  • Ran structured root-cause analysis of recurring defects and SLA deviations, contributing to a 30% reduction in operational defects.
  • Automated management reporting in Excel and Power BI, cutting recurring effort by 25%.
  • Partnered with Risk, Compliance and Quality on controls and workflow improvements, contributing to a 22% productivity uplift.
  • Documented process gaps, tracked issues through Buganizer and validated corrective actions.

Internships

Where I learned the fundamentals.

2023Jul — Aug 2023

Bhagwan Parshuram Institute of Technology, GGSIPU

Data Analytics Intern · New Delhi

Analysed institutional datasets in Python and Excel, building KPI dashboards and automated reports that cut repetitive manual effort by 25%.

2022Jul — Sep 2022

Defence Research and Development Organisation (DRDO)

Research and Development Intern · India

Supported development, validation and signal analysis of an embedded wireless sensing prototype, improving reliability and reducing errors.

2020Sep — Oct 2020

AGIXURY

Web Development Intern · Remote

Built responsive interfaces from business requirements and improved usability across desktop and mobile.

Education

Electronics, then AI.

2026Present

Masters’ Union Current

PGP in Applied AI and Agentic Systems · Gurugram
2020To 2024

B.Tech, Electronics and Communication Engineering

Bhagwan Parshuram Institute of Technology, GGSIPU · CGPA 8.53 / 10
2018To 2020

Faith Academy Senior Secondary School, CBSE

Class XII 92.8% · Class X 94.2% · New Delhi

Certified

Toolkit

What I reach for.

Programming
PythonSQLFastAPIFlaskData cleaningExploratory analysis
Applied AI
Agentic AIRAGLLM evaluationLarge language modelsPrompt engineeringGenerative AIMachine learning
Systems & cloud
FAISSLLMOpsGenAIOpsAzure AISnowflakeModel APIs
Tooling
GitGitHub ActionsDockerpytestPower BITableauAdvanced Excel
Delivery
Root-cause analysisProcess improvementWorkflow optimisationStakeholder communication

Get in touch

Building something that needs measuring?

I’m looking for applied AI and forward-deployed engineering roles — the kind where you sit with the actual workflow before deciding what to build.

jerryanand10@gmail.com Résumé LinkedIn ↗ GitHub ↗ Field notes

ps — there’s a terminal behind this page. press `