Headline

Gen AI engineer | LLMs | RAG | Ex- Phenom

About

AI/ML Engineer with 6+ years of experience, including 2+ years specializing in Generative AI and NLP, and over 5 years in scalable backend and data pipeline development. Expert in optimizing embeddings, fine-tuning large language models, and delivering efficient AI solutions in production. Proficient in Python, FastAPI, Kafka, Snowflake, and Hugging Face, with a strong track record of building robust, multilingual, and high-performance AI-driven systems.

Location

Greater Hyderabad Area

AI stack

cursor

github copilot

langchain

langfuse

langgraph

ollama

Work experience

Senior Data Scientist at Centific, Nov 2025 - Present · 10 mos, Hyderabad

Product Development Engineer II at Phenom, Apr 2023 - Nov 2025 · 2 yrs 8 mos, On-site, Improved the FitScore matching algorithm by refining AI embeddings and configurable weights across skills, titles, experience, location, and education, which helped reduce recruiter screening time through more accurate resume–job compatibility matching. Designed and implemented an education taxonomy scoring module using PhenomBERT embeddings and hierarchical classification (broad/narrow levels), contributing 15% weight to the overall Fitscore algorithm accuracy by 5% for entry-level positions Incorporated feedback to compute Fitscore, considering factors such as skill alignment and education to make informed hiring decisions, which improved evaluation accuracy by 10%. Developed 5% performance metrics using Snowflake SQL and BI tool, Looker, to analyze Fitscore computation accuracy, reliability, consistency, and predictive ability. Migrated to BERT embeddings from fastText, which enhanced Fitscore by 18%. Automated the extraction of over 10 predefined candidate attributes like tenure per skill from resumes using Chain-of-Thought prompting on GPT-3.5 Turbo. Applied instruction tuning to Llama-3.1-8B-Instruct using LoRA, improving feature extraction efficiency and adaptability for downstream NLP tasks while reducing computational cost. Enhanced performance by applying 20-bit to 8-bit quantization on multi-e5-Instruct, lowering computational and memory overhead

Product Development Engineer I at Phenom, Aug 2021 - Mar 2023 · 1 yr 8 mos, Hybrid, Migrated a microservice from CherryPy to FastAPI, improving the throughput from 5.3 to 5.9 RPS. Implemented scalable Kafka-based ETL pipelines processing over 4 million daily events, developing a multi-threaded Python consumer-producer system for efficient, real-time data streaming across multiple topics and consumer groups. Adapted an English‑language ML model to support 7 additional languages through translation and back‑translation techniques, ensuring accuracy. Created 10+ interactive dashboards in Redash and Looker to analyze trillions of job click events in Snowflake for product review insights. Leveraged Snowpark and FastAPI to deliver insights from Snowflake with cursor-based pagination, improving query performance and reducing data retrieval time by 10%. Transitioned the architecture from CherryPy to AWS Lambda with custom Docker images, enhancing throughput from 3 to 40 RPS. Developed AI agents to suggest jobs to a candidate for a recruiter using Langchain and Langfuse, and increased the recruiter interaction with the platform by 10% Implemented stratified sampling techniques using Snowflake window functions to create balanced datasets for improved machine learning model fairness and performance.

Backend developer at Agrometrics, Jul 2020 - Jul 2021 · 1 yr 1 mo, Remote, Achievements/Tasks --API development using DjangoRest framework, Database management using ORM. --Adding new features to AgPivot(farm management system ERP monolithic application using Python Django that captures all the farm operations from field planning to harvest). --Designing and developing features from scratch for AgConnect(FPO digitalization )which captures farmer details, land registrations and provides all the insights about land using Remote sensing data and GIS. --To manage and structure the source code, databases, AWS(code commit, Lambda, S3 bucket, EC2, RDS) & Git source control tools.

Backend Developer(intern) at Agrometrics, Jan 2020 - Jun 2020 · 6 mos, On-site, -- API development using DjangoRest framework, Database management using ORM --Adding new features to AgPivot(farm management system- a monolithic Django application)

Student Intern at IIIT Hyderabad, May 2019 - Aug 2019 · 4 mos, Hyderābād Area, India, Student Remote Internship Program (SRIP) A remote internship program for engineering students to enhance employability skills offered by the Software Engineering Research Center, IIIT Hyderabad. I have contributed to open source virtual-labs My contributions include- "AFFINE TRANSFORMATIONS", "HYDRAULICS-WEIRS EXPERIMENT" for image-processing-iiith and hydraulics-and-fluid-mechanics-iiith repositories respectively .

Engineering Trainee at TECHTYCHON IT SOLUTIONS PVT.LTD., May 2018 - Jun 2018 · 2 mos, Hyderabad Area, India, An introduction to corporate environment(15 day's program) .

Education

Master of Technology - MTech, Artificial Intelligence and Machine learning, BITS Pilani Work Integrated Learning Programmes

Bachelor of Technology - BTech, Computer Science, sreenidhi institute of science and technology

Public links

github: https://github.com/priyankacheruku