I

Ishan Chawla

Software Engineer

New Delhi, Delhi, India5 yrs 10 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Architected ML-powered platform driving 22% of company revenue.
  • Reduced system latency from 2.5s to under 500ms.
  • Recognized as a Top Performer at Curefit.
Stackforce AI infers this person is a Backend-heavy Fullstack Engineer in the Healthcare sector.

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Skills

Core Skills

Systems DesignMachine LearningDatabasesData Analysis

Other Skills

AlgorithmsC++ClickHouseDeep LearningEthical HackingJavaKafkaLarge-scale Distributed SystemsObject-Oriented Programming (OOP)Spring BootStart-upsVAPT

About

I’m a Computer Science grad from DTU and currently Lead Engineer at Curefit, where I design and scale systems that power millions of users every day. My sweet spot is building platforms at the intersection of backend engineering, machine learning, and large-scale distributed systems—always with a bias toward speed, reliability, and cost-efficiency. At Curefit, I helped grow CRM from a side-channel (~5% revenue) into a core engine driving 22% of company revenue by architecting SmartComms, an ML-powered targeting + experimentation platform that fires 10M+ notifications daily. Along the way, I boosted campaign CTRs by 45%, saved ~$60K/year in infra costs, and reimagined attendance across 1,200 centers (cutting latency from 2.5s → <500ms). Before that, at Airtel, I rebuilt their clickstream infra to crunch 8B+ daily events in <10ms. I love 0→1 product builds, scaling infra that refuses to break, and embedding ML into production systems in ways that create direct business impact. Recognized as a Top Performer at Curefit and recipient of Airtel’s GEM/Kudos awards, I bring both the hacker’s instinct and the engineer’s discipline. Tech I play with: C++, Java, Python, Go, Spring Boot, Kafka, MySQL, MongoDB, ClickHouse, Redis, Aerospike, TensorFlow, Keras, React, and the usual suspects in observability and infra. Outside of code, you’ll find me chasing a badminton shuttle, a football, or the next big idea.

Experience

Curefit - house of cult

3 roles

Lead Engineer (Supply/Platforms)

Promoted

Dec 2023Present · 2 yrs 3 mos

  • Leading tech initiatives for supply & platform engineering
Systems DesignC++JavaDeep LearningMachine LearningLarge-scale Distributed Systems

Senior Software Engineer

Jun 2022Nov 2023 · 1 yr 5 mos

  • Designed, led & scaled horizontal platforms for Cult operations — unified profiling, rostering, attendance, access management, team app overhaul — serving 10K+ staff across 1,200+ centers.
  • ◦ Built biometric attendance system across 1200+ centers handling 500K+ daily check-ins, latency 2.5s → <500ms, DB load -65% (sharded a/z setup)
  • ◦ Shifted CRM operations to center-level model, leading to +25% localized conversions
  • ◦ Owned core platform services (Segmentation, Caravan, Event bus, Notification, Experimentation, platforms commons) handling 100M+ events/day at p95 <150ms & 99.99% uptime.
  • ◦ Delivered ₹32L/year (~$39K) infra savings via optimizing flows, sharding, caching, pool right-sizing, consolidation & segregation of dbs
Systems DesignC++JavaMachine LearningData AnalysisSpring Boot+1

Software Engineer

Nov 2021May 2022 · 6 mos

  • Owned, scaled, and optimized mission-critical CRM Tech Stack triggering 15M+ notifications/day (Email, SMS, Push, WhatsApp)
  • ◦ Increased CRM revenue share 5% → 22%+
  • ◦ Boosted app traffic share 3.58% → 5.2% in 6 months
  • ◦ Scaled smartcomms to 63% recurring campaigns to increase ~CTR by 45%
  • ◦ Reduced infra cost $3,800+/month via Trino migration, segment caching, Redis/Mongo optimizations
  • ◦ Achieved 70% fewer incidents, 90% fewer alerts, near-zero P1/P2s
Systems DesignC++JavaMachine LearningData AnalysisSpring Boot

Airtel

Software Engineer

Jun 2020Nov 2021 · 1 yr 5 mos · Delhi, India

  • Re-designed, implemented, and optimized clickstream service processing 8B+ events daily
  • ◦ Horizontally scalable, Kafka-based, event-driven architecture
  • ◦ Low latency (<10ms web service calls)
  • ◦ High throughput (>10,000 requests/sec per instance)
  • ◦ Scaled up to all LOBs
  • Optimized ClickHouseDB powering 300+ dashboards & 2K+ daily queries
  • ◦ Clustered and sharded A/Z setup for disaster recovery
  • ◦ Latency reduced <400ms for analytics query engine(p95)
  • ◦ Optimized query performance by 45% using LSM partitioning, ordering & indexing
  • Single owner of Clickstream, Widget and Bouncer micro services of MyAirtelApp
Systems DesignC++JavaData AnalysisSpring Boot

Ideate

Machine Learning Intern

May 2019Jul 2019 · 2 mos · København, Capital Region, Denmark · Remote

Arbunize

Machine Learning Intern

Mar 2019May 2019 · 2 mos · New Delhi Area, India

Defence research and development organisation (drdo)

Machine Learning & AI Intern

May 2018Aug 2018 · 3 mos · New Delhi Area, India

Education

Delhi Technological University (Formerly DCE)

Bachelor of Technology — Computer Science

Aug 2016Jun 2020

Delhi Public School Rohini

Mar 2016Present

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