srikar kodakandla
@srikarkodakandla
Machine Learning Engineer and Data Scientist specializing in production ML systems across NLP, CV, and Time-Series.
What I'm looking for
I am a Machine Learning Engineer and Data Scientist with around 4 years of hands-on experience and over 3 years professionally building and deploying end-to-end ML systems in fast-paced startup environments.
I own the full ML lifecycle—from problem framing and data engineering to modeling, evaluation, and production on GCP and AWS—working across NLP, computer vision, and time-series domains.
My notable accomplishments include training and deploying ViT-based fashion pairing models, building custom image-tagging models to reduce latency and cost, and delivering state-of-the-art disposition extraction with a Longformer achieving a 0.91 F1 on diverse Indian court records.
I prioritize explainable models, robust MLOps (FastAPI, Docker, MLflow, GCP), and practical integrations (RAG, vector DBs, search) to deliver scalable, production-grade solutions that meet business needs.
Experience
Work history, roles, and key accomplishments
Machine Learning Engineer
Taffi
Feb 2024 - Oct 2025 (1 year 8 months)
Built end-to-end vision pipelines including a ViT-based fashion pairing model and an in-house multi-label image tagging system, reducing latency and cost while deploying models and services on GCP. Led development of an SQL EDA bot with multi-platform integrations to improve data interaction and API scalability.
Machine Learning Engineer
IDfy
Oct 2022 - Feb 2024 (1 year 4 months)
Developed state-of-the-art NLP pipelines including a Longformer-based disposition extractor achieving 0.91 F1 and deployed multiple production LLM/RAG and NER systems on GCP serving enterprise clients. Rebuilt retrieval and ranking pipelines to improve search relevance.
Delivered milestone-driven AI/ML solutions and a capstone project while executing hands-on model development and deployment tasks in an enterprise environment.
AI/ML Engineer
SkyGoal
Jul 2021 - Oct 2021 (3 months)
Built and deployed an adaptive exam chatbot using BERT embeddings and a KD-tree KNN for similarity matching, integrating with AWS and IBM Watson across multiple messaging platforms.
Education
Degrees, certifications, and relevant coursework
SCSVMV (Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya)
Bachelor of Engineering, Computer Science Engineering
2018 - 2022
Grade: CGPA-9.36
Completed Bachelor of Engineering in Computer Science Engineering with a CGPA of 9.36 between July 2018 and July 2022.
Tech stack
Software and tools used professionally
IBM Watson
Google Cloud Platform
Amazon CloudWatch
Google Cloud Storage
GitHub
Kubernetes
Docker Cloud
Amazon CloudFront
GitHub Actions
Jupyter
NumPy
Pandas
DB
MySQL
PostgreSQL
Gmail
.NET
Telegram
Redis
AWS CloudFormation
AWS Cloud Development Kit
Python
JSON
AWS CloudTrail
Amazon Machine Learning
Azure Machine Learning
TensorFlow
PyTorch
MLflow
scikit-learn
Keras
Streamlit
FastAPI
Linux
Windows
Gemini
Google Cloud Pub/Sub
Elasticsearch
OpenSearch
Google Cloud Functions
Docker
Google Meet
s3-lambda
Cloud AI Platform Pipelines
SQL
XGBoost
Hugging Face
LightGBM
Docker Machine
LangChain
Weights & Biases
Playwright
Pinecone
CrewAI
vLLM
OpenAI API
Score
Vercel AI SDK
Black
Bash
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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