BOYINI SRIKARAN

Generative AI Engineer

https://www.opentalent.in/boyini-srikaran

Generative AI Engineer with 1+ years in LLM-powered pipelines & RAG architectures.

Tele Paradigm Networks Ltd.

Key Strengths

Strong foundational knowledge and practical experience in Generative AI, NLP, and RAG architectures.
Demonstrated ability to fine-tune transformer models (BERT with LoRA/PEFT) for domain-specific tasks.
Proficient in developing and deploying AI applications using Python, LangChain, FastAPI, and vector databases (ChromaDB).
Experience in prompt engineering and integrating LLM APIs (Gemini API) for context-aware responses.
Proven track record of delivering measurable impact through AI solutions, such as reducing query resolution time, boosting accuracy, and cutting manual effort.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

About

I don't just work with AI - I build with it. As a Generative AI & AI/ML Developer, I have engineered LLM-powered pipelines, RAG architectures, fine-tuned transformer models using LoRA, and NLP systems that solve real problems from masking sensitive PII with 92% precision to classifying complex multi-label datasets at 89% accuracy. Armed with Python, LangChain, Hugging Face, FastAPI, Gemini API, and ChromaDB, I turn cutting-edge AI research into production-ready tools that deliver measurable impact from day one.

Top Skills

LlmsPrompt EngineeringRagVector DatabasesGithub

Education

Neil Gogte Institute of Technology

B.E. · Computer Science & Engineering

August 1, 2021 – June 30, 2025

Sri Chaitanya Junior College

Intermediate · PCM

June 1, 2019 – May 31, 2021

Sri Chaitanya Techno School

Schooling

June 1, 2009 – May 31, 2019

Experience

Tele Paradigm Networks Ltd.

AI Developer Intern

August 1, 2025 – January 1, 2026

Hyderābād, Telangana, India

VISHAVM.AI (Supported by Meta & IIIT Hyderabad)

AI Developer Intern

June 1, 2024 – December 1, 2024

Hyderābād, Telangana, India

Projects

AI-Based Intelligent Document Redaction System

June 1, 2026 – Present

Delivered AI-powered PDF redaction pipeline using Hugging Face NER + LangChain to detect and mask PII across 20+ documents achieving 92% precision and reducing manual redaction effort by 70%. Optimized regex-based post-processing logic to cut false positives by 30% and served the system via FastAPI REST endpoints, improving overall processing speed by 40%.

View Project

Synthesis AI - Intelligent Document Template Generator

June 1, 2026 – Present

Fine-tuned BERT using LORA (PEFT) on custom uploaded document datasets via Hugging Face PEFT library, improving domain-specific template generation accuracy by 35% compared to base model outputs. Engineered RAG-based AI application vectorizing documents into ChromaDB for persistent semantic search; integrated Gemini API for template generation with REST endpoints (/upload, /search, /status), improving scalability by 100%.

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Hire Flow - AI-Powered Recruitment & Resource Allocation

June 1, 2026 – Present

Built an AI resume parser using NLP and cosine similarity scoring to generate semantic match/gap insights against job descriptions, boosting recruiter shortlisting accuracy by 50% and cutting workflow effort by 60%. Designed an AI-driven role allocation engine using embedding similarity to match candidate profiles to project requirements, with offline-first architecture ensuring 100% data retention during API outages.

View Project

Certifications

Salesforce Agentblazer – Earned Agentforce certification, designing and deploying autonomous AI agents using the Agentforce platform.

Salesforce

June 1, 2026 – Present

Techolution MNC Hackathon 2025 – Ranked Top 10 Globally in 'Building AI with C.A.R.E'

Techolution MNC

January 1, 2025 – Present

COSC Hack Week – CBIT / GeeksforGeeks 2025 – Ranked 20th among 200+ participants; delivered scalable AI components with open-source contributions.

CBIT/GeeksforGeeks

January 1, 2025 – Present

Key Strengths

Strong foundational knowledge and practical experience in Generative AI, NLP, and RAG architectures.
Demonstrated ability to fine-tune transformer models (BERT with LoRA/PEFT) for domain-specific tasks.
Proficient in developing and deploying AI applications using Python, LangChain, FastAPI, and vector databases (ChromaDB).
Experience in prompt engineering and integrating LLM APIs (Gemini API) for context-aware responses.
Proven track record of delivering measurable impact through AI solutions, such as reducing query resolution time, boosting accuracy, and cutting manual effort.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's involvement in hackathons, open-source contributions, and diverse AI projects (recruitment, document redaction, template generation) demonstrates a broad interest in applying AI to various real-world problems. This aligns well with a culture that values innovation, practical application, and continuous skill development. The focus on measurable impact in projects also suggests a results-oriented mindset.

Soft Skills & Operational Fit

The candidate's project descriptions and certifications indicate a proactive, problem-solving attitude and a strong drive for continuous learning and competitive achievement. Participation in hackathons and open-source contributions suggests good teamwork potential and an ability to deliver scalable components. The detailed project descriptions reflect good communication of technical achievements and impact.