Open to opportunities

Divyansh Jain

Senior Software Engineer (AI)  ·  ex-Tech Lead

7 yrs Experience
3 Zero-to-one launches
13 Engineers led
$80M Product scale
DJ
Divyansh Jain
SWE (AI) · Bangalore, India
$80M
Cards Vol.
$180K
Ops saved/yr
6.7×
Scale unlock
$150K
AWS saved
Backend SystemsExpert
AI Agents / LLMsExpert
Fintech / PaymentsAdvanced
Engineering LeadershipAdvanced
Java Python AI Agents MCP Fintech 0→1

Measurable impact

By the numbers

💳
$0M
Cards volume at full scale  ·  $2.4M gross interchange  ·  $800K net retained
⚡
$0K
FinOps time saved per year across 150+ controllers via bill automation
🤖
0×
Customer scale unlock with AI credit agent  ·  75 → 500+ tenants automated
☁️
$0K
AWS cost cut (40% of total)  ·  Kubernetes + Aurora IO optimisation

Career

Work experience

Senior Software Engineer (AI)
Zeni
May 2024 — Present · 2 yrs
▼

AI-powered finance and accounting platform for startups. Built backend systems and AI agents across spend management, payment cards, and credit risk — took manual work off Ops and 150+ in-house controllers.

Mark Bill as Paid Spend Management
  • "Mark as paid" flow for bills outside Zeni's wire/ACH rails with QuickBooks Online sync
  • Saved ~$180K/yr — cut reconciliation 5 hrs/month across 150+ controllers
  • Bills sync straight to QBO with per-bill analytics; eliminated manual imports
Zeni Cards — 0→1 Debit & Credit
  • Built Zeni's first issued cards from scratch — issuance, ledger, interchange + cashback. 1.5% / 1.75% cashback
  • Annual volume ~$12M, gross interchange ~$360K/yr, net retained ~$120K
  • Monthly vol. $399K → $544K in Q1, +36% in 3 months; 1,151 txns in March (+45% MoM)
  • 99.9999% uptime, p95 < 200ms, p99 < 500ms  ·  $140K cumulative interchange
  • One card engine shared across debit and credit via the strategy pattern
  • Central analytics framework — drop-in events anywhere, up to 100 fields per event
  • Event Notification Processor Factory routes 6+ Unit (BaaS) webhook types to dedicated processors
  • RBAC at handler init, multi-tenant namespace isolation, AppEngine task queues with retry/backoff
Credit Assessment Agent AI Agent
  • Unlocks 6.7× customer scale (75 → 500+); at full scale: ~$80M volume, ~$2.4M gross interchange
  • Automated ~2,000 hrs of underwriting (2 hrs/tenant × 1,000+ tenants)
  • AI agent scores every tenant from cash flow, P&L and balance sheet — powered by Zeni's AI CFO
  • Prompts cached as macros — no network round-trip per tenant
  • Built internal MCP exposing P&L, balance sheet, cash flow, vendor OpEx as tools — LRU-cached, feature-gated by tenant
SDE3
goGlocal
Oct 2023 — Mar 2024 · 6 mos
▼

Helping Indian brands sell globally. Led GLS (Global Level Strategy) and PLS (Product Level Strategy) initiatives. GTM strategies for international markets. Managed 3 FTEs.

Global Expansion Strategy (GES)
  • Scraped data at scale; leveraged API-rate-limit handlers, Zyte proxies and Cloudflare CDN
  • Migrated 100+ GBs from S3 to MongoDB; API loading time improved 10×
Product Level Strategy (PLS)
  • 10× resource optimization by consolidating 8 microservices into a single workflow
  • Reduced product-level-report creation 12 hrs → 1 hr; reduced brand onboarding time
  • Cloud costs down 70% by transitioning to bare-metal servers
  • Hugging Face Sentence Transformers + Embedding Quantization for faster retrieval
Listing Automation
  • Automated product listings in multiple international marketplaces at scale
Tech Lead
LimeChat
Jun 2021 — Apr 2023 · 2 yrs
▼

WhatsApp marketing solutions for D2C brands. Led a 10-member Outbound pod and a 3-member Services pod for Analytics, System architecture and Stability.

Flow Builder — 0→1 100M events/day
  • Custom interactive flows on WhatsApp + Instagram — 10% boost in retention
  • 2-way conversational bots via Deep Learning + RASA — automated >90% of chats
  • Product launch in 3 months; 30+ brands onboarded within 6 months
  • LLD/HLD designed for 100M+ events/day; event-driven arch, Factory + Adapter patterns
Services Team (OE) Infra & Reliability
  • AWS cost reduced >40% — Kubernetes capacity planning + RDS Aurora IO optimisation
  • Uptime >99.97% across all apps
  • EFK stack centralized logging for 10+ apps — designed for 1 TB logs/day
  • ALBs with WAF — DDoS and brute force protection
  • Bug resolution time down 70% — Prometheus, Grafana and New Relic
  • Analytics SQL queries optimized 50× — query plans, partitioning, indexes, derived tables
Software Engineer 2
Guavus (Thales)
Jul 2019 — Jun 2021 · 2 yrs
▼

Big Data solutions for telecom. RAF (Reflex Analytics Fabric) and ACS (Apps Common Services) — built a No-Code Unified Platform for processing and analyzing huge datasets.

  • Big Data pipelines processing Mumbai's network traffic (2+ TBs) in one hour
  • Elasticsearch RBAC security layer over CRUD operations
  • Automated Keycloak for distributed security service integration
  • Enhanced Spring Cloud Config Server to centralize distributed system configs
  • MySQL → Elasticsearch migration — 50× system performance improvement
SDE Intern
Rivigo
Jan 2019 — Jun 2019 · 6 mos
▼

Revolutionising logistics in India. Zoom team handling part-load shipments.

  • MySQL → Elasticsearch migration — 50× performance improvement
  • Shingle Token Filter + NGram Tokenizer for real-time searching

Technical proficiency

Skills & stack

🤖
AI / Machine Learning
AI AgentsLLMsPrompt Engineering GPT-4LangchainHugging Face RASADetectron2YOLO
💻
Languages
JavaPythonScala
💳
Fintech & Payments
Card IssuanceQuickBooks Online InterchangeWire / ACH
🗄️
Databases
PostgreSQLMongoDB ElasticsearchRedis KafkaHiveRabbitMQ
☁️
Cloud & Infra
GCPKubernetes DockerAppEngine JenkinsAnsibleBare Metal
🔥
AWS
RDSS3Aurora EKSEC2IAM VPCWAF
📡
Observability
PrometheusGrafana New RelicELK Stack KibanaPG Analyze
⚙️
Frameworks
Spring BootFastAPI DjangoHibernateResilience4j

Background

Education

2015 — 2019
B.E. in Computer Engineering
Thapar Institute of Engineering and Technology
GPA 8.17 / 10
2023
General Management Program
Stoa