Swastik Singh

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

AI ML PractitionerAI Enabled

Key Highlights

Engineered scalable backend systems for high throughput.
Led development of AI-driven reporting tools.
Designed secure multi-tenant architectures.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in Healthcare SaaS solutions.

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Skills

Core Skills

Microservices ArchitectureBackend DevelopmentData EngineeringAi DevelopmentSecurity ArchitectureHealthcare Software DevelopmentData IntegrationPerformance Optimization

Other Skills

AIAPI developmentBack-End Web DevelopmentCloud Platforms (AWS/GCP)Deep LearningDjangoDocker & KubernetesHL7JWTJavaScriptMachine LearningMinIOMongoDBNode.jsOTP

About

I’m a Senior Software Engineer with 4+ years of experience building high-performance backend systems, distributed services, and data platforms at scale. My work spans designing multi-tenant SaaS architectures, optimizing throughput for data-intensive pipelines, and developing fault-tolerant microservices. At nference, I contributed to scalable data engineering and analytics infrastructure powering large-scale biomedical intelligence. At Abnormal AI, I led the development of an in-house document rendering platform that scaled from ~700 to over 75,000 PowerPoint renderings per day — all within a protected VPC environment where third-party solutions were not permitted, demanding creative and deeply technical problem-solving. I enjoy designing reliable systems from first principles, improving performance through careful engineering, and delivering measurable business impact. Currently exploring opportunities as a Senior Software Engineer / SDE II where I can contribute to building distributed backend systems, scalable data pipelines, and cloud-native services.

Experience

Abnormal security

SWE 2

Feb 2025 – Oct 2025 · 8 mos · Bengaluru, Karnataka, India

Engineered a horizontally scalable asynchronous PPT rendering service (gRPC + worker fleet) that decoupled presentation
generation from external quotas and increased daily throughput from∼700 to∼75,000 renders ( 100×) using idempotent
jobs and worker isolation.
Implemented an AI agent that auto-generates client value reports and answers ad-hoc queries by retrieving and summarizing
tenant data; shifted slide-generation ownership away from CSMs and reduced average report preparation time from days to
minutes.

gRPCasynchronous processingAIclient reportingMicroservices ArchitectureBackend Development

Nference

2 roles

Senior Software Engineer

Promoted

Apr 2023 – Feb 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India

Designed and delivered a unified authentication and authorization service (Django) supporting OTP (email/SMS), TOTP,
SSO, and password flows — enabling seamless client access to data across multiple AMCs (hospitals) through a single
sign-on experience.
Established tenant-aware RBAC and token management (JWT/session revocation), strengthening data security and enabling
onboarding of multi-tenant clients requiring fine-grained access control across AMCs.
Contributed to development of GDMT (Guideline-Directed Medical Therapy) software supporting clinicians in managing
heart-failure patients; implemented HL7-based data exchange and clinical logic powering decision support workflows across
7 deployed hospitals, improving treatment adherence and patient outcomes.

DjangoRBACJWTSSOBackend DevelopmentSecurity Architecture

Software Engineer

Jun 2021 – Mar 2023 · 1 yr 9 mos · Bengaluru, Karnataka, India

Built and optimized a Word2Vec data generation pipeline over 250M+ documents (∼100 TB); reduced end-to-end runtime
from∼40 days on 60 servers →∼30 days on 33 servers by batching, parallelization, and resource tuning—lowering
compute cost and operational overhead.
Built backend services that ingest, normalize, and serve clinical data (labs, notes, images, ECG waveforms) for analytics
workflows used by pharmaceutical customers; implemented performant query APIs and index strategies (ES + Postgres) for
105+ records per patient cohort.
Tech: Python, RabbitMQ, Redis, MongoDB, MinIO

PythonRabbitMQRedisMongoDBMinIOData Engineering+1