Shahaab Manzar

Software Engineer II (Backend) | AI/ML Integrations Specialist
Bangalore, IN.

About

Results-driven Software Engineer II with over 2 years of experience specializing in building scalable distributed backend systems and integrating advanced AI/ML solutions. Proven ability to optimize critical workflows, develop innovative AI agents, and deliver high-impact products that significantly enhance efficiency and user experience. A Google Summer of Code alumnus with strong expertise in Python, FastAPI, GenAI, and distributed queueing, passionate about solving complex problems at scale.

Work

PHYLLO
|

Software Engineer II (Backend)

Bangalore, Karnataka, India

Fulltime

Summary

As a Software Engineer II, Shahaab Manzar drives backend system scalability and AI integration, optimizing critical workflows and ensuring robust, compliance-ready solutions.

Highlights

Boosted screenings throughput by 20% through strategic zero-downtime DB migrations and optimized Database Schema / Workflow, enhancing system efficiency. check it out here: https://www.getphyllo.com/social-screening

Developed and deployed an AI agent (CrewAI) to automate social screening workflows, reducing manual review time from over 60 minutes to under 15 minutes.

Engineered and implemented compliance-ready API Gateway authentication (JWT, SOC2), a semantic flagging engine, multi-tenancy architecture, and Pydantic v2 upgrades.

Architected and deployed a factory-based LLM layer (OpenAI, Claude, Gemini) and semantic keyword engine, enabling client-specific brand safety workflows.

APIK
|

Software Engineer (Intern)

New Delhi, Delhi, India

Summary

As an Intern, Shahaab Manzar developed key customer-facing applications and backend services to drive early customer acquisition and merchant onboarding.

Highlights

Developed a micro-frontend React application and a robust backend discount service, successfully onboarding over 10 merchants and accelerating early customer acquisition.

GOOGLE SUMMER OF CODE
|

Student Developer (Open Source)

Remote, US

Summary

As a Student Developer, Shahaab Manzar led a significant UI layer redesign for an open-source project, impacting a large contributor base.

Highlights

Led the complete rewrite of the base UI layer, with the design selected and implemented across 100+ Figma components, now utilized by over 50 open-source contributors. (link)

Education

GL BAJAJ INSTITUTE
Noida, Uttar Pradesh, India

B.Tech

Information Technology

Courses

DBMS

OOPS

Data Structures And Algorithm

Web Programming

Computer Networks

Neural Network

Awards

DigitalOcean Hacktoberfest 2022 Contributor

Awarded By

DigitalOcean

Acknowledged for active participation and contributions during the Hacktoberfest open-source event.

Google Summer of Code 2022

Awarded By

Google

Recognized as a Student Developer for significant contributions to an open-source project.

CodeChef Feb Long 2022 (Div II) Global Rank

Awarded By

CodeChef

Achieved a global rank of 157 out of 13,500+ participants in the CodeChef Feb Long 2022 (Division II) competitive programming contest.

Governor Awardee (Rajya Purushkar)

Awarded By

Bharat Scouts & Guides

Awarded the prestigious Governor Award (Rajya Purushkar) for exceptional achievement in scouting.

School House Captain

Awarded By

Vagdevi Vilas School

Appointed as School House Captain, demonstrating leadership and organizational skills.

Skills

Programming Languages

Python, Javascript, Java.

Databases

PostgreSQL, Redis, MongoDB.

Web Frameworks & Tools

FastAPI, SQLAlchemy, RabbitMQ, Docker, Springboot, Reactjs, HTML, CSS, REST API, GraphQL, Pydantic v2.

AI/Machine Learning

LLMs (OpenAI, Claude, Gemini), OCR, Prompt Engineering, GenAI, AI Agent, CrewAI, PyTorch, HuggingFace, CTGAN, Gensim, spaCy, NLTK, Pandas, Faker.

DevOps & Cloud

Jenkins, ArgoCD, Git, JWT, Grafana, Kibana, Distributed Systems, AWS.

Projects

VISUAL INSIGHTS | OCR + LLM PIPELINE FOR IMAGE/VIDEO ANALYSIS

Summary

Co-developed an innovative OCR and LLM system in partnership with Flipkart to extract, structure, and summarize insights from visual media.

SYNTHETIC DATA FOR VERTICAL LLMS (Hackathon Winning Project)

Summary

Led a hackathon-winning project to build a robust pipeline for generating high-quality, vertical-specific synthetic datasets using advanced AI techniques.