S Sanjay Reddy profile photo 1 on Tal

S Sanjay Reddy

SDE1@Phenom | BITS Pilani

Greater Hyderabad Area

1+ year of work experience

Phenom
Jun 20251 yrMay 2026

Hyderabad

• Owned client-facing integration delivery: Led live configuration and sign-off walkthroughs directly with enterprise customers, translating in-room feedback into shipped changes served as primary point of contact for 10+ enterprise accounts. • Spec writing and scoping, integrations: Owned ATS integration solutioning end-to-end for the Requisition module's Position Management — field mapping, locked-vs-editable field classification, and JSON transformation configs plus filter-enabled search built after observing recruiter workflows. Configured 12+ new enterprise accounts in under a year, over one-third of Phenom Hire's lifetime enterprise base. • 0→1 build: Architected a configurable Salary Calculator Engine from scratch, including dependency-resolution logic for cyclic salary components, cutting recruiter effort in offer generation by 90%+. • Designed and shipped end-to-end: A multi-locale offer template feature enabling multi-language offer letters from a single template (40%+ recruiter effort reduction), plus a suite of REST APIs for searchable, multi-select dynamic fields on Offer and Requisition Templates (70% cut in manual job-creation/offer-prep effort). • Ran a zero-disruption migration: Planned and executed migration of Offer Template data to dedicated microservice databases for 11 enterprise customers (7 US, 4 India), preserving integrity across 5,000+ offers/month with no downtime. • Built the operational feedback loop: Introduced automation test coverage, Grafana dashboards, and proactive Slack-based failure alerting, designing APIs to SOLID principles across 5 microservices supporting 30+ enterprise customers — turning undefined, customer specific roadblocks into shipped production configs across 6+ accounts.
BITS Pilani, Hyderabad Campus
Jul 20241 yrJun 2025

On-site

• Identified that LLMs struggle to maintain context across code-switched (mixed-language) conversation, common in multilingual societies. • Designed a multi-task NLP training pipeline (PyTorch Lightning, XLM-RoBERTa) on multilingual code-switched data, using GPU-accelerated HPC training and Weights & Biases experiment tracking. • Achieved F1-score gains of up to 80% across NER, POS tagging, and language identification vs. single-task baselines; co-authored a resulting research manuscript.
Jun 20232 mosJul 2023

Pilani

• Partnered with museum staff to address visitor experience gaps at a venue with 5,000+ visitors/day. Jun 2023 – Jul 2023 • Built and deployed a review-based sentiment analyzer classifying feedback as positive engagement or disappointment, driving a 40% increase in positive engagement.

S’s AI Stack

antigravity
antigravity
claude code
claude code
claude
claude
cursor
cursor
gemini
gemini
github copilot
github copilot

Education

Birla Institute of Technology and Science, Pilani

Bachelor of Engineering - BE, Electronics and Instrumentation Engineering

Birla Institute of Technology and Science, Pilani

20214 yrs2025

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S Sanjay Reddy on Tal

Headline

SDE1@Phenom | BITS Pilani

About

Software Engineer specializing in backend systems for enterprise SaaS platforms, with 1 year of production experience at Phenom People building microservice-based hiring infrastructure in Java and Spring Boot. Delivered REST APIs, workflow automation, and a Salary Calculator Engine serving 30+ enterprise customers and powering 5,000+ monthly offers. Experienced in large-scale database migrations, CI/CD pipelines, and production-grade engineering with strong testing and SOLID design practices. Additionally brings hands-on AI/ML depth — LLM fine-tuning, RLHF, and NLP research — giving a practical edge in AI-integrated backend systems.

Location

Greater Hyderabad Area

AI stack

antigravity

claude code

claude

cursor

gemini

github copilot

Work experience

Software Engineer at Phenom, Jun 2025 - May 2026 · 1 yr, Hyderabad, • Owned client-facing integration delivery: Led live configuration and sign-off walkthroughs directly with enterprise customers, translating in-room feedback into shipped changes served as primary point of contact for 10+ enterprise accounts. • Spec writing and scoping, integrations: Owned ATS integration solutioning end-to-end for the Requisition module's Position Management — field mapping, locked-vs-editable field classification, and JSON transformation configs plus filter-enabled search built after observing recruiter workflows. Configured 12+ new enterprise accounts in under a year, over one-third of Phenom Hire's lifetime enterprise base. • 0→1 build: Architected a configurable Salary Calculator Engine from scratch, including dependency-resolution logic for cyclic salary components, cutting recruiter effort in offer generation by 90%+. • Designed and shipped end-to-end: A multi-locale offer template feature enabling multi-language offer letters from a single template (40%+ recruiter effort reduction), plus a suite of REST APIs for searchable, multi-select dynamic fields on Offer and Requisition Templates (70% cut in manual job-creation/offer-prep effort). • Ran a zero-disruption migration: Planned and executed migration of Offer Template data to dedicated microservice databases for 11 enterprise customers (7 US, 4 India), preserving integrity across 5,000+ offers/month with no downtime. • Built the operational feedback loop: Introduced automation test coverage, Grafana dashboards, and proactive Slack-based failure alerting, designing APIs to SOLID principles across 5 microservices supporting 30+ enterprise customers — turning undefined, customer specific roadblocks into shipped production configs across 6+ accounts.

AI Research Intern at BITS Pilani, Hyderabad Campus, Jul 2024 - Jun 2025 · 1 yr, On-site, • Identified that LLMs struggle to maintain context across code-switched (mixed-language) conversation, common in multilingual societies. • Designed a multi-task NLP training pipeline (PyTorch Lightning, XLM-RoBERTa) on multilingual code-switched data, using GPU-accelerated HPC training and Weights & Biases experiment tracking. • Achieved F1-score gains of up to 80% across NER, POS tagging, and language identification vs. single-task baselines; co-authored a resulting research manuscript.

Machine Learning Intern at Birla Science Museum, Jun 2023 - Jul 2023 · 2 mos, Pilani, • Partnered with museum staff to address visitor experience gaps at a venue with 5,000+ visitors/day. Jun 2023 – Jul 2023 • Built and deployed a review-based sentiment analyzer classifying feedback as positive engagement or disappointment, driving a 40% increase in positive engagement.

Education

Bachelor of Engineering - BE, Electronics and Instrumentation Engineering, Birla Institute of Technology and Science, Pilani

S Sanjay Reddy - Software Engineer in Greater Hyderabad Area | Tal